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https://www.databricks.com/dataaisummit/speaker/erni-durdevic/#
Erni Durdevic - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingErni DurdevicSpecialist Solutions Architect (Geospatial) at DatabricksBack to speakersErni is a Big Data specialist helping Databricks customers to develop breakthrough applications at scale. He is specialised in Data Engineering, focusing on geospatial and time series data workloads. He is the co-creator of DiscoverX, an active contributor to the open-source geospatial library Mosaic, and an enthusiastic member of the Geospatial SME group at Databricks.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/p/ebook/driving-innovation-and-transformation-in-the-federal-government-with-data-ai
Driving Innovation and Transformation in the Federal Government With Data + AI | DatabrickseBookDrive innovation in government with Data + AIThe opportunity for the federal government to leverage data analytics and AI cannot be overstated. With access to some of the largest current and historical data sets available for the United States — and with vast personnel resources and some of the best private sector use cases and applications of AI available in the world — the U.S. federal government has the ability to transform the efficiency and effectiveness of many of its agencies.In this eBook, you will learn:What opportunities are available for data and machine learning within the public sectorWhy a lakehouse approach can help with some of the biggest challenges facing federal agenciesHow the U.S. Citizenship and Immigration Services achieved a 24x performance gain in data processingGet the eBookProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/dataaisummit/speaker/amir-skovronik/#
Amir Skovronik - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingAmir SkovronikDistinguished Software Engineer at AkamaiBack to speakersAmir is a distinguished engineer at Akamai with more than 10 years of experience in big data systems, and today functions as the technical leader of Asgard, the Akamai cloud base data warehouseLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/blog/2021/02/17/announcing-the-launch-of-databricks-on-google-cloud.html
Announcing the Launch of Databricks on Google Cloud - The Databricks BlogSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWCategoriesAll blog postsCompanyCultureCustomersEventsNewsPlatformAnnouncementsPartnersProductSolutionsSecurity and TrustEngineeringData Science and MLOpen SourceSolutions AcceleratorsData EngineeringTutorialsData StreamingData WarehousingData StrategyBest PracticesData LeaderInsightsIndustriesFinancial ServicesHealth and Life SciencesMedia and EntertainmentRetailManufacturingPublic SectorAnnouncing the Launch of Databricks on Google Cloudby Hiral JasaniFebruary 17, 2021 in AnnouncementsShare this postToday, we are proud to announce the availability of Databricks on Google Cloud. This jointly developed service provides a simple, open lakehouse platform for data engineering, data science, analytics, and machine learning. It brings together the Databricks capabilities customers love with the data analytics solutions and global scale available from Google Cloud. Open data platform meets open cloudDatabricks and Google Cloud share a common vision for an open data platform built on open standards, open APIs, and open infrastructure. With this partnership, organizations get the choice and flexibility to manage infrastructure and access data with the tools they need across cloud and on-premises environments. By adopting open frameworks and APIs, customers get the benefits of open source combined with managed cloud analytics and AI products. What does our new partnership mean for customers? Enterprises can now implement the Databricks Lakehouse Platform on Google Cloud — made possible by Delta Lake on Databricks. Delta Lake adds data reliability to data lakes with ACID transactions and versioning and better data governance and query performance to data in Google Cloud Storage. This announcement helps enterprises unify their analytics infrastructure on Google Cloud so they can simplify management for all data applications, including real-time streaming, SQL workloads, business intelligence, data science, machine learning, and graph analytics. The open cloud approach also improves interoperability and portability for enterprises that want to use multiple public clouds for analytics applications. A recent Gartner study concluded that at least 80% of enterprises had adopted a multi-cloud strategy across multiple geographies. The multi-cloud capability of Databricks allows customers to increase the efficiency and productivity of data processes, improve customer experiences, and create new revenue opportunities even when data is distributed across more than one cloud. For example, one leading global fast-food company (and Google Cloud customer) wants to build and deploy marketing solutions, such as churn reduction, behavioral segmentation, and lifetime value for about a dozen global markets by year-end 2021. By architecting a global data platform with Databricks, they will provide each regional business with a choice for their public cloud platform. Streamlined integrationsDatabricks is tightly integrated with Google Cloud compute, storage, analytics, and management products to give customers a simple, unified experience with high performance and enterprise security. Compute and Storage: Built on Google Kubernetes Engine (GKE), Databricks on Google Cloud is the first fully container-based Databricks runtime on any cloud. It takes advantage of GKE’s managed services for the portability, security, and scalability developers know and love. Read/write access to GCS from Databricks allows customers to execute workloads faster and at lower costs. Analytics: Databricks has an optimized connector with Google BigQuery that allows easy access to data in BigQuery directly via its Storage API for high-performance queries. The connector has support for additional predicate pushdown, querying named tables and views, and for directly running SQL on BigQuery and loading the results in an Apache Spark™ DataFrame. Also, Looker’s integration with Databricks and support for SQL Analytics, along with an open API environment on Google Cloud, complements the open, multi-cloud architecture. This integration gives Looker users the ability to directly query the data lake, providing an entirely new visualization experience. Security and Administration: Experience a simplified deployment from the Google Cloud Marketplace with unified billing and one-click setup inside the Google Cloud console. Databricks’ integration with Google Cloud Identity allows customers to simply use their Google Cloud credentials for single sign-on and user provisioning on Databricks. Put Databricks to work on Google CloudSome of the most innovative use cases for Databricks on Google Cloud are in retail, telco, media and entertainment, manufacturing, and financial services. Across every industry, data is driving digital transformation initiatives. With the lakehouse architecture, Databricks and Google Cloud customers are finding new ways to accelerate data-driven innovation. Here are some of the most popular workloads customers are using Databricks for today. To learn more about industry-specific use cases, visit the Industry Solutions page. Data lake modernizationDelta Lake on Databricks provides a modern foundation to transition from expensive, hard-to-scale on-premises systems to well-architected Google Cloud Storage–based data lakes. In fact, companies that have migrated to Databricks from a cloud-based Hadoop service realize up to 50% performance improvement in data processing and 40% lower monthly infrastructure cost. Moving to Databricks on Google Cloud helps customers reduce administrative overhead, quickly scale up or down compute resources and reduce operational costs with autoscaling and job termination. Scalable data processing to prepare data for analyticsDatabricks simplifies your ETL architecture and lowers costs to ingest and process data using a high-performance runtime on clusters optimized for data processing at scale. With Delta Lake, you can reliably store all data (structured, semi-structured, and unstructured) in raw format and incrementally move it through the transformation stages to an aggregated, BI-ready tier with ACID guarantees. Reliable analytics on the data lakeCustomers use Delta Lake on top of data lakes based on Google Cloud Storage file-store to bring reliability, performance, and lifecycle management. Delta Lake helps prevent data corruption, run faster queries, improve data freshness, and reproduce ML models, allowing customers to always trust their data for analytical insights. In addition, Databricks provides Delta Engine to significantly accelerate query performance on data lakes, especially those enabled by Delta Lake. Data science and machine learningManaged MLflow on Databricks allows data teams to track all experiments and models in one place, publish dashboards, and facilitate handoffs with peers and stakeholders across the entire workflow — from raw data to insights. Databricks’ collaborative workspace allows data teams to explore data, share insights, run experiments, and build ML models faster to be more productive. Getting startedThe launch of Databricks on Google Cloud is a win-win for customers. The tight integration of Databricks with Google Cloud‘s analytics and AI products delivers a broad range of capabilities — with more to come. Together, we will continue to innovate and support customers in building intelligent applications that solve tough data problems. If you are interested in Databricks on Google Cloud, request access via the product page. To learn more, visit us at the launch event hosted by TechCrunch where Ali Ghodsi and Thomas Kurian share their vision from this partnership and the benefits to customers. SIGN UP FOR FREE TRIALTry Databricks for freeGet StartedSee all Announcements postsProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/dataaisummit/speaker/saad-ansari/#
Saad Ansari - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingSaad AnsariSenior Staff Product Manager at DatabricksBack to speakersSaad is a product manager at Databricks working on the Developer Ecosystem. Prior to this he was CTO and co-founder at Connecterra using Artificial Intelligence to improve sustainability, productivity and animal welfare in the Dairy Industry (think Fitbit for cows!). Saad has also worked as a PM and Developer at Microsoft. He holds a masters in computer science from Stanford.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/jp/solutions/industries/financial-services
金融サービス向けレイクハウス | DatabricksSkip to main contentプラットフォームデータブリックスのレイクハウスプラットフォームDelta Lakeデータガバナンスデータエンジニアリングデータストリーミングデータウェアハウスデータ共有機械学習データサイエンス料金Marketplaceオープンソーステクノロジーセキュリティ&トラストセンターウェビナー 5 月 18 日午前 8 時 PT さようなら、データウェアハウス。こんにちは、レイクハウス。 データレイクハウスが最新のデータスタックにどのように適合するかを理解するために出席してください。 今すぐ登録ソリューション業種別のソリューション金融サービス医療・ライフサイエンス製造通信、メディア・エンターテイメント公共機関小売・消費財全ての業界を見るユースケース別ソリューションソリューションアクセラレータプロフェッショナルサービスデジタルネイティブビジネスデータプラットフォームの移行5月9日 |午前8時(太平洋標準時)   製造業のためのレイクハウスを発見する コーニングが、手作業による検査を最小限に抑え、輸送コストを削減し、顧客満足度を高める重要な意思決定をどのように行っているかをご覧ください。今すぐ登録学習ドキュメントトレーニング・認定デモ関連リソースオンラインコミュニティ大学との連携イベントDATA+AI サミットブログラボBeacons2023年6月26日~29日 直接参加するか、基調講演のライブストリームに参加してくださいご登録導入事例パートナークラウドパートナーAWSAzureGoogle CloudPartner Connect技術・データパートナー技術パートナープログラムデータパートナープログラムBuilt on Databricks Partner ProgramSI コンサルティングパートナーC&SI パートナーパートナーソリューションDatabricks 認定のパートナーソリューションをご利用いただけます。詳しく見る会社情報採用情報経営陣取締役会Databricks ブログニュースルームDatabricks Ventures受賞歴と業界評価ご相談・お問い合わせDatabricks は、ガートナーのマジック・クアドラントで 2 年連続でリーダーに位置付けられています。レポートをダウンロードDatabricks 無料トライアルデモを見るご相談・お問い合わせログインJUNE 26-29REGISTER NOW金融サービス向けレイクハウスデータと AI で切り拓く 金融サービスの未来無料トライアルデモをリクエスト金融サービスにおけるデータ活用 4 つの課題データ管理とガバナンス データの俊敏性とモデルの再現性の欠如は、金融サービス特有の規制要件を満たすことを困難にしています。顧客に関する深い知見 データのサイロ化が、顧客行動やクロスセルの機会、大規模なハイパーパーソナライズのための知見の取得を阻害しています。リアルタイムな意思決定 ベンダーロックインや分断されたツールがリアルタイム分析を困難にし、金融に関するスマートな意思決定の促進や民主化を妨げています。サードパーティデータの利用 従来のテクノロジーでは、急増する非構造化データやオルタナティブデータから金融や顧客に関する知見を得ることができません。また、コラボレーションを促進するオープンなデータ共有機能は提供されません。金融サービス向けレイクハウスデータと AI の統合プラットフォーム あらゆるデータと分析のワークロードを統合する単一プラットフォームが、現代の金融サービス機関を変革するイノベーションを促進します。   パートナーソリューション 世界の大手ソリューションプロバイダが、金融サービス機関向けレイクハウスを構築しています。予め構築されたソリューションを提供し、データドリブンな変革を加速させます。 ビジネス成果を加速するツール Databricks とパートナーの連携による金融サービス機関向けソリューションアクセラレータが、ESG 投資や不正防止などのさまざまなユースケースに対応し、迅速な導入を可能にします。 コラボレーション Databricks のデータエコシステムは、S&P グローバル、インターコンチネンタル取引所(ICE)、FactSet、Nasdaq と連携し、セキュアでオープンなデータ共有を可能にすると同時に、持続可能な価値創造のためのイノベーションを促進します。 金融サービスを変革するレイクハウス 「Databricks のレイクハウスは、Nasdaq のデータと AI のビジョンを支えています。膨大な量の複雑な金融・オルタナティブデータを処理し、お客様向けにデータや分析結果を提供しています。Databricksは、データの供給と消費のモダナイズにおける中核的な役割を担っています。分析ワークスペースにデータをシームレスに供給できるため、お客様は、データを移動させることなく、ミッションクリティカルなテラバイト規模のデータを迅速に分析・統合できます。」Nasdaq データリンク部門責任者 ビル・ダグ(Bill Dague)氏金融サービス向けレイクハウスを選ぶ理由 データと AI のオープンでコラボレーション可能な統合プラットフォームが、リスクを最小限に抑えて優れた顧客体験の提供とイノベーションの加速を支援します。リスク管理とコンプライアンスに対するガバナンス データの取得、処理、送信をセキュアに効率化し、優れたデータガバナンスを実践することで、複雑な規制当局への報告、リスク管理、コンプライアンスをシンプルにします。商品・サービスのパーソナライズ 市場やオルタナティブデータなどのさまざまなデータの統合により、高度にパーソナライズされたエクスペリエンスが実現し、クロスセルの機会創出、顧客満足度の向上、ウォレットシェアの促進が可能になります。リアルタイムな知見による的確な意思決定 あらゆるデータソースを大規模かつ迅速に取り込み、より適切な投資の意思決定ができます。新たな不正パターンを迅速に検知し、リアルタイムなリスク管理を可能にします。オープンなデータ共有とデータの収益化 社内外の膨大なデータを集約し、革新的な金融ソリューションの共有および、新しいデータ製品の収益化を可能にします。プロプライエタリな技術に縛られることなく、主要なクラウドやツールで高度な分析機能を利用できます。eBook をダウンロードパートナーとソリューション分析や AI のためのデータのオープンフォーマットおよび標準化を推進します。リスク管理バリューアットリスクのモデルにデータを迅速に展開し、新たなリスクや脅威に対応します。無料トライアルレガシーカードとコアバンキングポートフォリオのモダナイゼーション外部ソースシステムからの迅速な変換を可能にし、完全に設定可能で工業化された変換能力を実現します。無料トライアルPersona 360スマートなデータモデルで顧客プロフィールを完全、統一、把握する。無料トライアル全てのパートナーソリューションを見る大規模なサイバーセキュリティSplunk と Databricks で脅威を迅速に検知し、影響を調査してリスクを低減します。無料トライアルESG スコアサステナビリティを定量化し、企業が行動に対する説明責任を果たしているかどうかを評価します。無料トライアルモデルリスク管理レイクハウスによるデータと AI の統合で、リスク管理ソリューションのアジャイルな開発を加速無料トライアル地理空間分析と AI による不正行動の特定地理空間データを活用し、顧客の特定と取引内容の把握の両面から顧客の購買行動を深く理解できます。無料トライアルマーチャント分類によるトランザクションエンリッチメントトランザクションエンリッチメントの自動化により、行動をより深く理解し、高度にパーソナライズされた顧客体験を提供できます。無料トライアルルールベース AI モデルによる金融不正の防止不正防止戦略をモダナイズすることで、運用コストを削減し、顧客の信頼を高めます。無料トライアル規制当局へのタイムリーで信頼性の高い報告書の作成金融サービス業界のデータモデルとクラウドの相乗効果により、低い開発オーバーヘッドで高水準のガバナンスが可能になります。無料トライアル投資データプラットフォームのモダナイズ金融市場データを最大限に活用し、顧客への商品提供に注力できるようになります。無料トライアルアンチマネーロンダリング(AML)あいまい一致や画像解析などの AI ドリブンなユースケースを活用し、マネーロンダリングや金融テロ対策を講じます。無料トライアル全てのソリューションを見る金融サービス向けレイクハウス導入事例Data+AI Summit 2022:データ+AI でレイクハウスのコラボレーションを促進ご登録→関連リソース 関連リソース一覧 金融サービスのためのデータとAIに関するeBookやビデオを探すには、リソースライブラリをご覧ください。 詳しく見るeBook・インフォグラフィックインフォグラフィック:新時代のリスク管理を支えるデータ →金融サービスにおいてデータと AI の可能性を容易に引き出す →金融サービスにおけるオルタナティブデータとサードパーティデータの活用 →データ分析と AI の活用で ESG をバズワードから現実のものへ → データ+AI による不正防止 – 現代の脅威に対応する入門書 → 動画・ダウンロード説明可能で透明性の高いESG投資手法金融サービスにおけるサイバーセキュリティ金融サービスにおけるデータおよびAI駆動型イノベーションを加速する動画:ESG 分析の解説 →<br />モダナイズリスク管理金融サービス向けLakehouseによるモダンなデータ投資プラットフォーム業界レイクハウスブループリントソリューションシートブログクレジットカード取引のデータを活用した銀行・フィンテック向けアクセラレータ →ESG スコアの作成・格付けのための<br />データ駆動型アプローチ金融サービスにおけるモデルリスク管理プラットフォームの構築 →Using Your Data to Stop Credit Card Fraud: Capital One and Other Best Practices投資データプラットフォームをモダナイズする戦略 →トランザクションエンリッチメントによる顧客体験の改善 Data + AI Summit 2022における金融サービス向けの主なポイント金融サービス向けレイクハウス無料お試し・その他ご相談を承りますお客様のビジネスゴールをお聞かせください。Databricks のサービスチームがお役に立ちます。Databricks 無料トライアルデモをリクエスト製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティソリューション業種別プロフェッショナルサービスソリューション業種別プロフェッショナルサービス会社情報会社概要採用情報ダイバーシティ&インクルージョンDatabricks ブログご相談・お問い合わせ会社情報会社概要採用情報ダイバーシティ&インクルージョンDatabricks ブログご相談・お問い合わせ採用情報言語地域English (United States)Deutsch 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Alexander Vanadio - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingAlexander VanadioPrincipal Consultant at OptivBack to speakersAlex has studied Computer Science at the University of Maryland, College Park. He has been doing some combination of software engineering, data engineering, and ML engineering for over 15 years. Most recently, he has been working on PB scale streaming workloads for a Fortune 500 company.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
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Governança unificada para dados, análises e IA | DatabricksSkip to main contentPlataformaDatabricks Lakehouse PlatformDelta LakeGovernança de dadosData EngineeringStreaming de dadosArmazenamento de dadosData SharingMachine LearningData SciencePreçosMarketplaceTecnologia de código abertoCentro de segurança e confiançaWEBINAR Maio 18 / 8 AM PT Adeus, Data Warehouse. Olá, Lakehouse. Participe para entender como um data lakehouse se encaixa em sua pilha de dados moderna. Inscreva-se agoraSoluçõesSoluções por setorServiços financeirosSaúde e ciências da vidaProdução industrialComunicações, mídia e entretenimentoSetor públicoVarejoVer todos os setoresSoluções por caso de usoAceleradores de soluçãoServiços profissionaisNegócios nativos digitaisMigração da plataforma de dados9 de maio | 8h PT   Descubra a Lakehouse para Manufatura Saiba como a Corning está tomando decisões críticas que minimizam as inspeções manuais, reduzem os custos de envio e aumentam a satisfação do cliente.Inscreva-se hojeAprenderDocumentaçãoTreinamento e certificaçãoDemosRecursosComunidade onlineAliança com universidadesEventosData+AI SummitBlogLaboratóriosBeaconsA maior conferência de dados, análises e IA do mundo retorna a São Francisco, de 26 a 29 de junho. ParticipeClientesParceirosParceiros de nuvemAWSAzureGoogle CloudConexão de parceirosParceiros de tecnologia e dadosPrograma de parceiros de tecnologiaPrograma de parceiros de dadosBuilt on Databricks Partner ProgramParceiros de consultoria e ISPrograma de parceiros de C&ISSoluções para parceirosConecte-se com apenas alguns cliques a soluções de parceiros validadas.Saiba maisEmpresaCarreiras em DatabricksNossa equipeConselho de AdministraçãoBlog da empresaImprensaDatabricks VenturesPrêmios e reconhecimentoEntre em contatoVeja por que o Gartner nomeou a Databricks como líder pelo segundo ano consecutivoObtenha o relatórioExperimente DatabricksAssista às DemosEntre em contatoInício de sessãoJUNE 26-29REGISTER NOWUnity CatalogGovernança unificada para dados, análises e IA  ComeçarAssista à demonstração WEBINAR • Goodbye, Data Warehouse. Hello, Lakehouse. Attend on May 18 and get a $100 credit toward a Databricks certification course Register nowO Unity Catalog é uma solução de governança unificada para todos os dados e ativos de IA em seu lakehouse, incluindo arquivos, tabelas, modelos de machine learning e dashboards, independentemente da nuvem usada.Governança centralizada para dados e IACom um modelo baseado em ANSI SQL, centralize a governança comum de arquivos, tabelas, dashboards e modelos de ML, independentemente da nuvem.Busca e descoberta de dados integradasEncontre, entenda e consulte rapidamente dados em todo o seu conjunto de dados para máxima produtividade.Desempenho e escalaObtenha melhor desempenho para suas queries com serviço de metadados de baixa latência e otimização automática de tabelas.Linhagem automatizada para todas as cargas de trabalhoCrie uma visão unificada e transparente de todo o seu ecossistema de dados, enriquecido por uma linhagem automatizada e precisa de todas as cargas de trabalho em SQL, R, Python, Scala, em todos os tipos de ativos: tabelas, notebooks, fluxos de trabalho e dashboards.Integração com suas ferramentas existentesAproveite seus catálogos de dados e soluções de governança existentes para preparar seus dados e estratégia de governança de IA para o futuro.Como funcionaGerencie e controle centralmente todos os ativos de dadosCom o modelo de governança comum baseado no padrão aberto ANSI SQL, simplifique a governança de arquivos, tabelas, dashboards e modelos de ML, independentemente da nuvem. Defina as políticas de acesso no nível da conta uma vez e aplique-as a todas as cargas de trabalho e workspaces. O Unity Catalog mantém um log das operações realizadas nos dados, fornecendo auditoria centralizada e precisa dos seus dados. Você pode cumprir os requisitos de conformidade e auditoria com total tranquilidade. Gerenciar controles de acesso refinadosUse funções SQL padrão para definir filtros de linha e máscaras de coluna e habilitar controles de acesso específicos. À medida que a Databricks continua desenvolvendo recursos para melhorar a escalabilidade e a integração, os próximos controles de acesso baseados em atributos permitirão definir políticas de acesso com base em tags personalizadas (atributos).Experiência de busca de dados unificada e seguraEncontre, entenda e consulte rapidamente dados relevantes em todo o seu acervo de dados com uma experiência de busca unificada criada para analistas de dados, engenheiros de dados e data scientists. No Unity Catalog, a busca de dados é segura por padrão: o acesso aos resultados é limitado com base nos privilégios dos usuários. Assim, você obtém uma camada extra de segurança para proteção da privacidade.Desempenho de query aprimorado em qualquer escalaO Unity Catalog oferece desempenho de query aprimorado por meio de um serviço de metadados de baixa latência e ajuste automático de tabela. As queries são executadas mais rapidamente em todas as escalas. A compactação automática e assíncrona de dados otimiza os tamanhos dos arquivos e reduz automaticamente a latência de entrada/saída (E/S) em segundo plano.Linhagem de dados automatizada e em tempo realObtenha visibilidade de ponta a ponta do fluxo de dados em seu lakehouse com linhagem de dados automatizada em tempo real em todas as cargas de trabalho em SQL, Python, Scala e R. Realize rapidamente verificações de qualidade de dados, analise profundamente o impacto das alterações e depure quaisquer erros em seus pipelines de dados. Aproveite a verdadeira linhagem entre tabelas, colunas, notebooks, fluxos de trabalho e dashboards. Os gráficos de linhagem do Unity Catalog representam diferentes níveis de acesso. Sua disponibilidade é, portanto, limitada de acordo com os privilégios de acesso dos usuários. Uma API REST também pode ser usada para recuperar a linhagem para integrações com outros catálogos.Compartilhamento seguro de dados entre organizaçõesO Unity Catalog oferece suporte nativo ao Delta Sharing, o primeiro protocolo aberto do mundo para compartilhamento seguro de dados. Ele permite que você compartilhe facilmente dados existentes nos formatos Delta Lake e Apache Parquet em qualquer plataforma de computação. Os usuários não precisam estar na plataforma Databricks ou na mesma nuvem também. Na verdade, eles nem precisam estar em uma nuvem. Você pode compartilhar dados em tempo real sem precisar replicá-los ou copiá-los para outro sistema. Graças às integrações nativas com Power BI, Tableau, Spark, Pandas e Java, os destinatários podem usar os dados compartilhados na ferramenta de sua escolha. Você pode centralizar o gerenciamento, a governança, a auditoria e o rastreamento do uso de dados compartilhados em uma única plataforma.Integrações perfeitas com suas ferramentas existentesO Unity Catalog funciona com seus catálogos de dados, sistemas de armazenamento de dados e soluções de governança existentes para que você possa aproveitar seus investimentos existentes e criar um modelo de governança preparado para o futuro sem custos de migração caros.Dados e armazenamento na nuvemGovernança de dados e parceiros de catálogoClientes“O Unity Catalog nos ajudou a simplificar o gerenciamento de dados e os controles de acesso em toda a empresa. A equipe de dados da Compass integrou com segurança mais de 100 fontes de dados, migrou todos os workspaces para o Unity Catalog e criou uma camada de ouro para as principais partes interessadas explorarem para obter insights sobre áreas como clientes, produtos, uso, receita e muito mais, criando uma única fonte da verdade, com controles de acesso abrangentes em toda a empresa.”— Rajesh Nagpal, diretor sênior de engenharia de dados“O Unity Catalog simplificou muito nossa implementação de controle de acesso baseado em funções. Agora, temos a capacidade de proteger dados em nível de catálogo, banco de dados, tabela e coluna. Fornecemos, de forma transparente, o nível adequado de acesso a todos os usuários. Conseguimos adequar o gerenciamento e a segurança do acesso aos dados com confiança para atender às nossas rígidas políticas de conformidade e privacidade.”— Chris Locklin, gerente de engenharia de plataformas de dados da Grammarly“Ao adotar o Unity Catalog, a Milliman conseguiu criar um vínculo direto entre seus vastos ativos de dados e seus usuários, por meio de gerenciamento de acesso simplificado e complexidade de armazenamento reduzida. O Unity Catalog oferece à Milliman a capacidade de exploração colaborativa de dados e armazenamento simplificado, atendendo aos rigorosos padrões do setor de saúde. Com o Unity Catalog, podemos escalar rapidamente com base nas necessidades dos nossos clientes.”— Dan McCurley, arquiteto de soluções em nuvem da Milliman“O Unity Catalog nos permite construir uma plataforma de última geração que libera todo o potencial de veículos definidos por software que evoluem e melhoram à medida que acumulam quilômetros – melhorando assim a experiência de direção para os clientes e maximizando os benefícios ambientais do transporte elétrico. Agora, temos um catálogo de dados centralizado e gerenciamento de acesso em várias equipes e workspaces, o que abriu oportunidades sem precedentes para colaboração e inovação.”— Venkat Sivasubramanian, diretor sênior de Big Data“O Unity Catalog realmente mudou o jogo para nós. Nossos analistas podem acessar as tabelas externas da AWS em tempo real nos workspaces da Databricks e juntá-los às tabelas do Delta Lake. Assim, aproveitamos as vantagens de desempenho oferecidas pelo Databricks SQL sem migrar nossas tabelas Glue. Com o Unity Catalog, diferentes equipes podem colaborar umas com as outras sem ter que mover dados constantemente.”— Rajat Gupta, gerente de engenharia da Warner Bros. DiscoveryRecursosApresentações e webinars[Apresentação] Governança de dados e compartilhamento de lakehouse no Data + AI Summit 2022[Webinar sob demanda] Como simplificar dados e governança de IAe-books e blogs[e-book] Data, Analytics and AI governanceAnúncio da disponibilidade geral da linhagem de dados no Unity CatalogAnúncio da disponibilidade da linhagem de dados com o Unity CatalogApresentamos o Unity Catalog da Databricks: Governança refinada para dados e IA no LakehouseDocumentaçãoDocumentação da AWSDocumentação do AzureTudo pronto para começar?Experimente o Databricks gratuitamenteProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineSoluçõesPor setorServiços profissionaisSoluçõesPor setorServiços profissionaisEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoSee Careers at DatabricksMundialEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. 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データレイクハウスアーキテクチャと AI の企業 ― DatabricksSkip to main contentプラットフォームデータブリックスのレイクハウスプラットフォームDelta Lakeデータガバナンスデータエンジニアリングデータストリーミングデータウェアハウスデータ共有機械学習データサイエンス料金Marketplaceオープンソーステクノロジーセキュリティ&トラストセンターウェビナー 5 月 18 日午前 8 時 PT さようなら、データウェアハウス。こんにちは、レイクハウス。 データレイクハウスが最新のデータスタックにどのように適合するかを理解するために出席してください。 今すぐ登録ソリューション業種別のソリューション金融サービス医療・ライフサイエンス製造通信、メディア・エンターテイメント公共機関小売・消費財全ての業界を見るユースケース別ソリューションソリューションアクセラレータプロフェッショナルサービスデジタルネイティブビジネスデータプラットフォームの移行5月9日 |午前8時(太平洋標準時)   製造業のためのレイクハウスを発見する コーニングが、手作業による検査を最小限に抑え、輸送コストを削減し、顧客満足度を高める重要な意思決定をどのように行っているかをご覧ください。今すぐ登録学習ドキュメントトレーニング・認定デモ関連リソースオンラインコミュニティ大学との連携イベントDATA+AI サミットブログラボBeacons2023年6月26日~29日 直接参加するか、基調講演のライブストリームに参加してくださいご登録導入事例パートナークラウドパートナーAWSAzureGoogle CloudPartner Connect技術・データパートナー技術パートナープログラムデータパートナープログラムBuilt on Databricks Partner ProgramSI コンサルティングパートナーC&SI パートナーパートナーソリューションDatabricks 認定のパートナーソリューションをご利用いただけます。詳しく見る会社情報採用情報経営陣取締役会Databricks ブログニュースルームDatabricks Ventures受賞歴と業界評価ご相談・お問い合わせDatabricks は、ガートナーのマジック・クアドラントで 2 年連続でリーダーに位置付けられています。レポートをダウンロードDatabricks 無料トライアルデモを見るご相談・お問い合わせログインJUNE 26-29REGISTER NOW最良の データウェアハウス レイクハウスでデータ、分析、AI を 1 つのプラットフォームで一元化無料トライアルを開始詳しく見るレイクハウスプラットフォームでコストを削減し、イノベーションを加速詳しく見る統合単一のプラットフォームでのデータ管理を可能にし、あらゆる分析と AI に対応オープンオープンスタンダードを基盤とし、あらゆるクラウドとの統合により、モダンデータスタックのシームレスな動作を可能にスケーラビリティシンプルなデータパイプラインから大規模な LLM まで、あらゆるワークロードを効率的にスケールアップデータドリブンな組織に選ばれる「レイクハウス」 導入事例一覧へ レイクハウスがデータチームをひとつにデータ管理とエンジニアリングデータの取り込みと 管理の効率化Delta Lake は、自動化された信頼性の高い ETL、オープンでセキュアなデータ共有、超高速性能を備え、構造化/半構造化/非構造化のあらゆるデータを任意のデータレイクに格納します。詳しく見る デモ動画を見るデータウェアハウス完全なデータから 新たな知見を引き出すDatabricks SQL は、従来のクラウド型のデータウェアハウスの性能と比較して最大 12 倍の価格性能で、最新で完全なデータへの容易なアクセスを実現。データアナリストやデータサイエンティストが新たな知見を迅速に引き出すことを可能にします。詳しく見る デモ動画を見るデータサイエンスと機械学習一連の ML プロセスを加速Databricks の機械学習はレイクハウスを基盤として構築されています。データネイティブなコラボレーション型のソリューションにより、特徴量の生成から本番環境に至るまで、機械学習の完全なライフサイクルをサポートします。高品質、高性能のデータパイプラインとの相乗効果により、レイクハウスは、機械学習を効率化し、データチームの生産性を向上させます。詳しく見る デモ動画を見るデータの共有とガバナンスデータ・分析・AI の共有とガバナンスを一元化Databricks では、あらゆるクラウド上のレイクハウスのデータ、分析、AI のアセットに対して共通のセキュリティ/ガバナンスモデルを適用できます。データプラットフォーム、クラウド、リージョンを問わず、データの発見・共有が可能です。レプリケーションは不要で、ロックインもありません。データプロダクトは、マーケットプレイスを介して配布できます。詳しく見る デモ動画を見るデータウェアハウスからレイクハウスへ ― データと AI のためのモダンアーキテクチャレイクハウスによる革新セッションのカタログを公開しましたサンフランシスコで開催されるサミットで、レイクハウスのエコシステムとオープンソースの技術の進歩の詳細をご覧いただけます。ご登録Databricks は、ガートナーの「クラウドデータベース管理システム部門のマジック・クアドラント」において 2 年連続でリーダーの 1 社として位置付けられています。レポートをダウンロード18 か国、14 の業界、600 名の CIO の意識調査AI の成功にはデータ戦略が不可欠であることが最新の調査で明らかになっています。レポートでは、CIO の視点を掘り下げて解説しています。レポートをダウンロードMLOps の改善を追求する ML エンジニアやデータサイエンティスト向けに MLOps のベストプラクティスを解説しています。eBook をダウンロード無料お試し・その他ご相談を承りますDatabricks 無料トライアル製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティソリューション業種別プロフェッショナルサービスソリューション業種別プロフェッショナルサービス会社情報会社概要採用情報ダイバーシティ&インクルージョンDatabricks ブログご相談・お問い合わせ会社情報会社概要採用情報ダイバーシティ&インクルージョンDatabricks ブログご相談・お問い合わせ採用情報言語地域English (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.プライバシー通知|利用規約|プライバシー設定|カリフォルニア州のプライバシー権利
https://www.databricks.com/company/newsroom/press-releases/databricks-and-booz-allen-team-to-bring-unified-analytics-to-us-government-clients
Databricks and Booz Allen Team to Bring Unified Analytics to US Government ClientsPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWDatabricks and Booz Allen Team to Bring Unified Analytics to US Government ClientsBooz Allen Integrates Databricks’ Product into its Open Data Platform for On-Premises Deployments; Supports Government Agencies’ Ability to Manage Big Data June 11, 2019Share this postSAN FRANCISCO — June 11, 2019 — Databricks, the leader in Unified Analytics and founded by the original creators of Apache Spark™, and Booz Allen Hamilton, a leading provider of machine learning services to the U.S. Federal Government, today announced the two companies are teaming up to help Federal agencies scale their data analytics capabilities and accelerate AI initiatives across on-premise, hybrid and cloud environments. Booz Allen will integrate Databricks’ product and the open source technology Delta Lake into its Open Data Platform and offer the unique ability to deploy on cloud, hybrid, or on-premises infrastructure along with their expert services for data science and data engineering. According to a 2019 Gartner survey of CIOs and other IT leaders, ‘When asked what technology areas will be game changers, all industries and levels of government see the top three game-changing technologies as artificial intelligence (AI)/machine learning (27%), data analytics/predictive analytics (22%) and cloud technologies (19%).’ However, right now the industry continues to see government organizations encounter challenges when trying to pursue these initiatives due to complex security and compliance requirements, poor scalability of legacy IT infrastructure, and perceived risks associated with cloud and IT modernization efforts. “By leveraging a solution that integrates Databricks’ product and Delta Lake into the Booz Allen Hamilton Open Data Platform, government organizations can accelerate current data initiatives no matter where their data lives today,” said Dan Tucker, vice president at Booz Allen Hamilton. “Many of our clients are interested in moving to cloud but leverage on premise or hybrid environments today. The joint solution is designed to improve the reliability and performance of today’s on premise infrastructure and makes future migration to cloud faster and easier because these workloads can also run on the secure, cloud-based version of Databricks Unified Analytics Platform.” Booz Allen’s Open Data Platform™ (ODP) features best-of-breed open source software to manage the full lifecycle of big data from ingest to insight. Now Booz Allen can integrate Databricks’ product and Delta Lake with ODP and offer U.S. Government clients the unique ability to deploy it on-premises or onto hybrid infrastructure—along with expert data science and data engineering insights—to help government agencies accelerate current data initiatives no matter where their data lives today. Through this relationship, U.S. Federal Government clients can rapidly deploy state of the art big data and analytics technology with Databricks’ product and Delta Lake at the highest levels of classified networks. “Booz Allen and Databricks recognize Federal customers are at varying levels of adoption when it comes to cloud adoption. Together we are providing a solution that is ready now and future proof,” said Michael Hoff, senior vice president of Business Development and Partners at Databricks. “The ability to gain new insights for data-driven decisions is no longer limited by legacy infrastructure or complex security and compliance requirements. Our solution set enables organizations to gain value, regardless of where they are in the IT modernization journey, and it provides a path for continued evolution.” Databricks and Booz Allen have worked together to deliver high-scale data engineering and data science use cases for multiple government agencies. Customer examples include a government agency working with Booz Allen and Databricks to ingest and transform data from multiple streaming sources and make the data ready for data scientists and analysts in real time. These users perform interactive data exploration and advanced analytics at scale including geospatial and spatiotemporal correlations. Another government agency is working with Booz Allen and Databricks to move an on-premises data lake to a public cloud provider to develop advanced analytics on structured and unstructured data while maintaining sophisticated security controls. This solution lowered infrastructure cost by reducing several million hours of compute resources  for the same workload and also enabled elastic scaling and easier collaboration for users. In recognition of these clients projects and impact in the market, Databricks recently awarded Booz Allen Hamilton as its 2019 Industry Partner of the Year. Gartner, “2019 CIO Agenda: Government Insights”, Alia Mendonsa and Rick Howard, October 22, 2018 About Databricks Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks has secured investments from Andreessen Horowitz, Coatue Management, Microsoft, New Enterprise Associates (NEA), Battery Ventures, Green Bay Ventures, and Geodesic, among others, and has a global customer base that includes Viacom, Shell and HP. Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation. Recent Press ReleasesMay 5, 2023Databricks plans to increase local headcount in India by more than 50% to support business growth and drive customer success; launching new R&D hub in 2023 Read nowApril 4, 2023Databricks Announces Lakehouse for Manufacturing, Empowering the World’s Leading Manufacturers to Realize the Full Value of Their DataRead nowMarch 30, 2023Databricks Announces EMEA Expansion, Databricks Infrastructure in the AWS France (Paris) RegionRead nowMarch 7, 2023Databricks Launches Simplified Real-Time Machine Learning for the LakehouseRead nowJanuary 17, 2023Databricks Strengthens Commitment in Korea, Appointing Jungwook Jang as Country ManagerRead nowView AllResourcesContactFor press inquires:[email protected]Stay connectedStay up to date and connect with us through our newsletter, social media channels and blog RSS feed.Subscribe to the newsletterGet assetsIf you would like to use Databricks materials, please contact [email protected] and provide the following information:Your name and titleCompany name and location Description of requestView brand guidelinesProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. 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https://www.databricks.com/solutions/industries/retail-industry-solutions
The Data Lakehouse Solution for Retail and CPG - DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWDiscover Lakehouse for RetailThe unified data, analytics and AI platform retailers use to deliver more in every phase of the customer journeySign upContact usBetter performance, greater scale, lower TCOLakehouse for RetailUnify your data and AI workloads with sharing and governance built in, so internal and external teams can get access to the data they need when they need itImpact across the entire value chainCustomer EngagementBring relevance and hyper-personalization to every touchpointWith real-time, accurate 360° views of their customers, retailers have everything they need to create relationships on each customer’s terms: understanding sentiment across channels and personalizing recommendations. The result? Increased profitability and loyalty.Operational EfficiencyEmployee ProductivityProduct PerformanceRetail Solutions and PartnersNo-compromise data analytics and AI solutions purpose-built for your industryDatabricks Solution Accelerators are purpose-built guides — fully functional notebooks and best practices — that speed up retail results. Save time on discovery, design, development and testing in use cases like propensity scoring, customer lifetime value, order picking optimization and more.Fine-Grained ForecastingGenerate forecasts at scale in less time Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Lakehouse Platform.Get startedCustomer SegmentationSegment your customers for better targeting Create advanced customer segments using sales data, campaigns, promotion systems and more to drive better purchasing predictions based on behaviors.Get startedReal-Time Point-of-Sale AnalyticsCalculate real-time inventories across multiple store locations to improve retail margins Rapidly ingest all point-of-sale data sources and types at scale to derive real-time insights that tackle pressing in-store information needs.Get startedExplore Retail acceleratorsWe’ve partnered with leading consulting firms to deliver innovative, industry-specific solutions. Databricks Brickbuilder Solutions help you cut costs and increase value from your data. Backed by decades of industry expertise — and built for the Databricks Lakehouse Platform — Brickbuilder Solutions are tailored to your exact needs.Unified View of DemandMaximize accuracy, granularity and timeliness with a single-source-of-truth demand plan.Learn moreRevenue Growth ManagementRapidly perform analysis of invoice data, external market data, news and web scraping data to explore retail patterns.Learn moreTrellisSolve challenges around demand forecasting, replenishment, procurement, pricing and promotion services.Learn moreExplore Brickbuilder Solutions“We’re now able to combine, on a customer level, information about purchases made online and offline, which was very challenging before. This omnichannel view allows us to create a more comprehensive recommendation engine online, which has seen tremendous engagement.” — Wendell Kuling, Manager of Data Science and Analytics, Jumbo “Databricks enables us to outperform and deliver best-in-class customer experiences in every market. With its Lakehouse Platform, our stakeholders and developers can work more collaboratively and unlock critical trends and insights needed to serve our 180 million customers.” — Sergiy Tkachuk, Head of Data Science, Reckitt “More business units are using the platform in a self-service manner that was not possible before. I can’t say enough about the positive impact that Databricks has had on Columbia.” — Lara Minor, Senior Enterprise Data Manager, Columbia Sportswear ResourcesSelf-Guided TourAll the resources you need to explore the Lakehouse for RetailWebinarsDriving Real-Time Decisions in RetaileBookBig Book of Retail Use CasesProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/dataaisummit/speaker/hari-rajaram/#
Hari Rajaram - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingHari RajaramSr Director / Principal Data Architect at ProcoreBack to speakersHari is an accomplished technologist leader with more than two decades of experience in the data field. In addition, he is a tech enabler who has designed several technical architecture solutions for start-ups to enterprise.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/ruifeng-zheng/#
Ruifeng Zheng - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingRuifeng ZhengSenior Software Engineer at DatabricksBack to speakersRuifeng is currently a Databricks software engineer, Apache Spark committer, working on several different modules in Apache Spark including Spark Connect, Pandas API on Spark, PySpark, MLlib, Spark SQL, SparkR, etc. Prior to Databricks, he worked on applied machine learning for 10+ years. He holds a Master degree in Electronics Engineering from Peking University.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/tony-wang
Tony Wang - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingTony WangPhD student at StanfordBack to speakersTony Wang is a PhD student at Stanford University working on an open-source query engine in Python: https://github.com/marsupialtail/quokka, for emerging data applications like vector embeddings and feature engineering.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/christian-acuna
Christian Acuña - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingChristian AcuñaSenior Data Engineer at GrammarlyBack to speakersLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
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https://www.databricks.com/wp-content/uploads/2021/07/Databricks_John_Snow_NLP_for_Healthcare_Solution_Sheet.pdf
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https://www.databricks.com/fr/company/about-us
À propos de Databricks, fondée par les créateurs originaux d'Apache Spark™Skip to main contentPlateformeThe Databricks Lakehouse PlatformDelta LakeGouvernance des donnéesData EngineeringStreaming de donnéesEntreposage des donnéesPartage de donnéesMachine LearningData ScienceTarifsMarketplaceOpen source techCentre sécurité et confianceWEBINAIRE mai 18 / 8 AM PT Au revoir, entrepôt de données. Bonjour, Lakehouse. Assistez pour comprendre comment un data lakehouse s’intègre dans votre pile de données moderne. Inscrivez-vous maintenantSolutionsSolutions par secteurServices financiersSanté et sciences du vivantProduction industrielleCommunications, médias et divertissementSecteur publicVente au détailDécouvrez tous les secteurs d'activitéSolutions par cas d'utilisationSolution AcceleratorsServices professionnelsEntreprises digital-nativesMigration des plateformes de données9 mai | 8h PT   Découvrez le Lakehouse pour la fabrication Découvrez comment Corning prend des décisions critiques qui minimisent les inspections manuelles, réduisent les coûts d’expédition et augmentent la satisfaction des clients.Inscrivez-vous dès aujourd’huiApprendreDocumentationFORMATION ET CERTIFICATIONDémosRessourcesCommunauté en ligneUniversity AllianceÉvénementsSommet Data + IABlogLabosBeacons26-29 juin 2023 Assistez en personne ou connectez-vous pour le livestream du keynoteS'inscrireClientsPartenairesPartenaires cloudAWSAzureGoogle CloudContact partenairesPartenaires technologiques et de donnéesProgramme partenaires technologiquesProgramme Partenaire de donnéesBuilt on Databricks Partner ProgramPartenaires consulting et ISProgramme Partenaire C&SISolutions partenairesConnectez-vous en quelques clics à des solutions partenaires validées.En savoir plusEntrepriseOffres d'emploi chez DatabricksNotre équipeConseil d'administrationBlog de l'entreprisePresseDatabricks VenturesPrix et distinctionsNous contacterDécouvrez pourquoi Gartner a désigné Databricks comme leader pour la deuxième année consécutiveObtenir le rapportEssayer DatabricksRegarder les démosNous contacterLoginJUNE 26-29REGISTER NOWDatabricks est l'inventeur du lakehouseIssue du milieu universitaire et de la communauté open source, Databricks a été fondée en 2013 par les créateurs d'Apache Spark™, Delta Lake et MLflow. En tant que première et seule plateforme lakehouse mondiale dans le cloud, Databricks combine le meilleur des data warehouses et des data lakes pour vous offrir une plateforme ouverte et unifiée pour les données et l'IA.  Explorez la plateforme LakehouseAujourd'hui, plus de 7 000 organisations dans le monde, dont ABN AMRO, Condé Nast, Regeneron et Shell, s'appuient sur Databricks pour mener à bien le data engineering à grande échelle, la data science collaborative, le machine learning à cycle de vie complet et l'analytique business. Basée à San Francisco, avec des bureaux présents dans le monde entier et des centaines de partenaires internationaux, dont Microsoft, Amazon, Tableau, Informatica, Capgemini et Booz Allen Hamilton, Databricks s'est donnée pour mission de simplifier et démocratiser les données et l'IA en aidant les équipes data à résoudre les problèmes les plus complexes au monde.Découvrez les témoignages clientsVoir les partenairesNos clientsVoir tous les clients Notre leadershipÉquipe de directionRencontrez nos dirigeantsFoundersRencontrez nos fondateursConseil d'administrationRencontrez notre conseil d'administrationNos investisseursProduitPlatform OverviewTarifsOpen Source TechEssayer DatabricksDémoProduitPlatform OverviewTarifsOpen Source TechEssayer DatabricksDémoLearn & SupportDocumentationGlossaryFORMATION ET CERTIFICATIONHelp CenterLegalCommunauté en ligneLearn & SupportDocumentationGlossaryFORMATION ET CERTIFICATIONHelp CenterLegalCommunauté en ligneSolutionsBy IndustriesServices professionnelsSolutionsBy IndustriesServices professionnelsEntrepriseNous connaîtreOffres d'emploi chez DatabricksDiversité et inclusionBlog de l'entrepriseNous contacterEntrepriseNous connaîtreOffres d'emploi chez DatabricksDiversité et inclusionBlog de l'entrepriseNous contacterDécouvrez les offres d'emploi chez Databrickspays/régionsEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Avis de confidentialité|Conditions d'utilisation|Vos choix de confidentialité|Vos droits de confidentialité en Californie
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https://www.databricks.com/kr/company/about-us
Apache Spark™의 창립자가 세운 Databricks 소개Skip to main content플랫폼Databricks 레이크하우스 플랫폼Delta Lake데이터 거버넌스데이터 엔지니어링데이터 스트리밍데이터 웨어하우징데이터 공유머신 러닝데이터 사이언스가격Marketplace오픈 소스 기술보안 및 신뢰 센터웨비나 5월 18일 / 오전 8시(태평양 표준시) 안녕, 데이터 웨어하우스. 안녕하세요, 레이크하우스입니다. 데이터 레이크하우스가 최신 데이터 스택에 어떻게 부합하는지 이해하려면 참석하십시오. 지금 등록하세요솔루션산업별 솔루션금융 서비스의료 서비스 및 생명 공학제조커뮤니케이션, 미디어 및 엔터테인먼트공공 부문리테일모든 산업 보기사용 사례별 솔루션솔루션 액셀러레이터프로페셔널 서비스디지털 네이티브 비즈니스데이터 플랫폼 마이그레이션5월 9일 | 오전 8시(태평양 표준시)   제조업을 위한 레이크하우스 살펴보기 코닝이 수동 검사를 최소화하고 운송 비용을 절감하며 고객 만족도를 높이는 중요한 결정을 내리는 방법을 들어보십시오.지금 등록하세요학습관련 문서교육 및 인증데모리소스온라인 커뮤니티University Alliance이벤트Data + AI Summit블로그LabsBeacons2023년 6월 26일~29일 직접 참석하거나 키노트 라이브스트림을 시청하세요.지금 등록하기고객파트너클라우드 파트너AWSAzureGoogle CloudPartner Connect기술 및 데이터 파트너기술 파트너 프로그램데이터 파트너 프로그램Built on Databricks Partner Program컨설팅 & SI 파트너C&SI 파트너 프로그램파트너 솔루션클릭 몇 번만으로 검증된 파트너 솔루션과 연결됩니다.자세히회사Databricks 채용Databricks 팀이사회회사 블로그보도 자료Databricks 벤처수상 실적문의처Gartner가 Databricks를 2년 연속 리더로 선정한 이유 알아보기보고서 받기Databricks 이용해 보기데모 보기문의처로그인JUNE 26-29REGISTER NOWDatabricks는 레이크하우스 기업입니다Databricks는 학계와 오픈 소스 커뮤니티에 기반을 둔 기업으로, 지난 2013년 Apache Spark™, Delta Lake와 MLflow를 개발한 주역들이 모여 창업했습니다. Databricks는 세계 최초이자 유일한 클라우드 레이크하우스 플랫폼으로서, 데이터 웨어하우스와 데이터 레이크의 가장 좋은 점만 모아 데이터와 AI를 위한 통합형 오픈 플랫폼을 제공합니다.  레이크하우스 플랫폼 둘러보기요즘은 전 세계 7,000여 기업에서(ABN AMRO, Condé Nast, Regeneron과 Shell 등이 대표적) 대규모 데이터 엔지니어링, 협업형 데이터 사이언스, 전체 수명 주기 머신 러닝과 비즈니스 분석 등을 Databricks에 믿고 맡기고 있습니다. Databricks는 샌프란시스코에 본사를 두고 세계 각지에 지사를 운영하며 Microsoft, Amazon, Tableau, Informatica, Cap Gemini 및 Booz Allen Hamilton을 위시한 수백 곳의 글로벌 파트너와 협력하고 있으며, 데이터와 AI를 간소화, 민주화(democratize)하고 데이터 팀에서 전 세계의 어렵기로 손꼽히는 문제를 해결하도록 돕는 것이 사명입니다.고객 사례 둘러보기파트너 보기고객 소개모든 고객 보기 리더십 소개경영진경영진 소개창업자창업자 소개이사회이사진 소개투자자제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티솔루션산업 기준프로페셔널 서비스솔루션산업 기준프로페셔널 서비스회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처Databricks 채용 확인하기WorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark 및 Spark 로고는 Apache Software Foundation의 상표입니다.개인 정보 보호 고지|이용약관|귀하의 개인 정보 선택|귀하의 캘리포니아 프라이버시 권리
https://www.databricks.com/dataaisummit/speaker/amir-skovronik
Amir Skovronik - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingAmir SkovronikDistinguished Software Engineer at AkamaiBack to speakersAmir is a distinguished engineer at Akamai with more than 10 years of experience in big data systems, and today functions as the technical leader of Asgard, the Akamai cloud base data warehouseLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/glossary/what-is-spark-sql
What is Spark SQL?PlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWSpark SQLAll>Spark SQLMany data scientists, analysts, and general business intelligence users rely on interactive SQL queries for exploring data. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrames and can also act as a distributed SQL query engine. It enables unmodified Hadoop Hive queries to run up to 100x faster on existing deployments and data. It also provides powerful integration with the rest of the Spark ecosystem (e.g., integrating SQL query processing with machine learning).What is Apache Spark SQL?Spark SQL brings native support for SQL to Spark and streamlines the process of querying data stored both in RDDs (Spark’s distributed datasets) and in external sources. Spark SQL conveniently blurs the lines between RDDs and relational tables. Unifying these powerful abstractions makes it easy for developers to intermix SQL commands querying external data with complex analytics, all within in a single application. Concretely, Spark SQL will allow developers to:Import relational data from Parquet files and Hive tablesRun SQL queries over imported data and existing RDDsEasily write RDDs out to Hive tables or Parquet filesSpark SQL also includes a cost-based optimizer, columnar storage, and code generation to make queries fast. At the same time, it scales to thousands of nodes and multi-hour queries using the Spark engine, which provides full mid-query fault tolerance, without having to worry about using a different engine for historical data.  Additional ResourcesThe Data Scientist’s Guide to Apache Spark™ eBookDatabricks for SQL Developers DocumentationBucketing 2.0: Improve Spark SQL Performance by Removing ShuffleIntroducing Apache Spark 3.0: Now available in Databricks Runtime 7.0Lakehouse Architecture: From Vision to RealityBack to GlossaryProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/it/try-databricks?itm_data=Homepage-BottomCTA-Trial
Prova Databricks gratis | DatabricksProva Databricks gratisProva la piattaforma Databricks completa per 14 giorni su AWS, Microsoft Azure o Google Cloud.Semplifica l’acquisizione dei dati e automatizza i processi ETLAcquisisci i dati da centinaia di sorgenti. Usa un semplice approccio dichiarativo per costruire le pipeline di dati.Collabora nella lingua che preferisciScrivi codice in Python, R, Scala e SQL con co-creazione, gestione automatica delle versioni, integrazioni Git e controllo degli accessi per ruoli (RBAC).Rapporto prezzo/prestazioni 12 volte migliore rispetto ai data warehouse in cloudScopri perché oltre 7.000 clienti in tutto il mondo si affidano a Databricks per tutti i loro carichi di lavoro, dalla BI all’AI.Crea il tuo account Databricks1/2NomeCognomeE-mail aziendaleAziendaTitolo professionaleTelefono (Optional)Si prega di selezionareNazioneContinuaInformativa sulla privacy (aggiornata)Condizioni d'usoLe vostre scelte sulla privacyI vostri diritti di privacy in California
https://www.databricks.com/dataaisummit/speaker/thomas-la-piana/#
Thomas La Piana - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingThomas La PianaSenior Software Engineer at EthycaBack to speakersThomas La Piana is a data engineer turned product engineer with experience building out modern data stacks across multiple startups. Thomas joined Ethyca in 2021 to help create data privacy tools that engineers might actually want to use and shift the consideration of data privacy left.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/br/learn/labs
Databricks Labs Projects | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWDatabricks LabsDatabricks Labs are projects created by the field team to help customers get their use cases into production faster!DBXThis tool simplifies jobs launch and deployment process across multiple environments. It also helps to package your project and deliver it to your Databricks environment in a versioned fashion. Designed in a CLI-first manner, it is built to be actively used both inside CI/CD pipelines and as a part of local tooling for fast prototyping.GitHub Sources →Documentation →Blog →TempoThe purpose of this project is to provide an API for manipulating time series on top of Apache Spark™. Functionality includes featurization using lagged time values, rolling statistics (mean, avg, sum, count, etc.), AS OF joins, and downsampling and interpolation. This has been tested on TB-scale of historical data.GitHub Sources →Documentation →Webinar →MosaicMosaic is a tool that simplifies the implementation of scalable geospatial data pipelines by binding together common open source geospatial libraries and Apache Spark™️. Mosaic also provides a set of examples and best practices for common geospatial use cases. It provides APIs for ST_ expressions and GRID_ expressions, supporting grid index systems such as H3 and British National Grid.GitHub Sources →Documentation →Blog →Other ProjectsOverwatchAnalyze all of your jobs and clusters across all of your workspaces to quickly identify where you can make the biggest adjustments for performance gains and cost savings.Learn moreSplunk IntegrationAdd-on for Splunk, an app that allows Splunk Enterprise and Splunk Cloud users to run queries and execute actions, such as running notebooks and jobs, in Databricks.Github Sources →Learn more →SmolderSmolder provides an Apache Spark™ SQL data source for loading EHR data from HL7v2 message formats. Additionally, Smolder provides helper functions that can be used on a Spark SQL DataFrame to parse HL7 message text, and to extract segments, fields, and subfields from a message.Github Sources →Learn more →GeoscanApache Spark ML Estimator for density-based spatial clustering based on Hexagonal Hierarchical Spatial Indices.Github Sources →Learn more →MigrateTool to help customers migrate artifacts between Databricks workspaces. This allows customers to export configurations and code artifacts as a backup or as part of a migration between a different workspace.Github SourcesLearn more: AWS | AzureData GeneratorGenerate relevant data quickly for your projects. The Databricks data generator can be used to generate large simulated/synthetic data sets for test, POCs, and other usesGithub Sources →Learn more →DeltaOMSCentralized Delta transaction log collection for metadata and operational metrics analysis on your Lakehouse.Github Sources →Learn more →DLT-METAThis framework makes it easy to ingest data using Delta Live Tables and metadata. With DLT-META, a single data engineer can easily manage thousands of tables. Several Databricks customers have DLT-META in production to process 1000+ tables.Github Sources →Learn more →Please note that all projects in the https://github.com/databrickslabs account are provided for your exploration only, and are not formally supported by Databricks with service level agreements (SLAs). They are provided AS IS and we do not make any guarantees of any kind. Please do not submit a support ticket relating to any issues arising from the use of these projects. Any issues discovered through the use of this project should be filed as GitHub Issues on the Repo. They will be reviewed as time permits, but there are no formal SLAs for support.ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/glossary/model-risk-management
What is Model Risk Management?PlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWModel Risk ManagementAll>Model Risk ManagementTry Databricks for freeGet StartedModel risk management refers to the supervision of risks from the potential adverse consequences of decisions based on incorrect or misused models. The aim of model risk management is to employ techniques and practices that will identify, measure and mitigate model risks i.e. the possibility of model error or wrongful model usage. In financial services, model risk is the risk of loss resulting from using insufficiently accurate models to make decisions, frequently in the context of valuing financial securities, and becoming prevalent in activities such as assigning consumer credit scores, real-time probability prediction of fraudulent credit card transactions, and money-laundering.  Financial institutions are highly reliant on credit, market, and behavioral models for model risk has become a core component of risk management and operational efficiency. These institutions primarily make money by taking risks -  they maximize models to evaluate risks, understand customer behavior, assess capital adequacy for compliance, make investment decisions, and manage data analytics. Implementing an effective model risk management framework is a requisite for organizations that are heavily reliant on quantitative models for operations and decision-making.Additional ResourcesSmarter risk and compliance with data and AIModernizing risk managementHow to modernize and scale VaR calculations and risk management with Apache Spark, Delta Lake and MLflow BlogHow to build: A modern risk management solution in financial servicesBack to GlossaryProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
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Data Lakehouse Architecture and AI Company - DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWThe best data warehouse is a lakehouseUnify all your data, analytics and AI on one platformGet started for freeLearn moreCut costs and speed up innovation on the Lakehouse PlatformLearn moreUnifiedOne platform for your data, consistently governed and available for all your analytics and AIOpenBuilt on open standards and integrated with every cloud to work seamlessly within your modern data stackScalableScale efficiently with every workload from simple data pipelines to massive LLMsData-driven organizations choosing Lakehouse See all customers Lakehouse unifies your data teamsData management and engineeringStreamline your data ingestion and managementWith automated and reliable ETL, open and secure data sharing, and lightning-fast performance, Delta Lake transforms your data lake into the destination for all your structured, semi-structured and unstructured data.Learn more Watch demoData warehousingDerive new insights from the most complete dataWith ready access to the freshest and most complete data and the power of Databricks SQL — up to 12x better price/performance than traditional cloud data warehouses — data analysts and scientists can now quickly derive new insights.Learn more Watch demoData science and machine learningAccelerate ML across the entire lifecycleThe lakehouse forms the foundation of Databricks Machine Learning — a data-native and collaborative solution for the full machine learning lifecycle, from featurization to production. Combined with high-quality, highly performant data pipelines, lakehouse accelerates machine learning and team productivity.Learn more Watch demoData governance and sharingUnify governance and sharing for data, analytics and AIWith Databricks, you gain a common security and governance model for all of your data, analytics and AI assets in the lakehouse on any cloud. You can discover and share data across data platforms, clouds or regions with no replication or lock-in, as well as distribute data products through an open marketplace.Learn more Watch demoThe data warehouse is history. Discover why the lakehouse is the modern architecture for data and AI.Discover LakehouseJoin Generation AILearn about the latest innovations with LLMs like Dolly and other open source Data + AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingRegister nowSee why Gartner named Databricks a Leader for the second consecutive year.Get the reportWEBINAR  May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowA must-read for ML engineers and data scientists seeking a better way to do MLOps.Get the eBookReady to get started?Try Databricks for freeProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. 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Master Cloud Services Agreement | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWLegalTermsDatabricks Master Cloud Services AgreementAdvisory ServicesTraining ServicesUS Public Sector ServicesExternal User TermsWebsite Terms of UseCommunity Edition Terms of ServiceAcceptable Use PolicyPrivacyPrivacy NoticeCookie NoticeApplicant Privacy NoticeDatabricks SubprocessorsPrivacy FAQsDatabricks Data Processing AddendumAmendment to Data Processing AddendumSecurityDatabricks SecuritySecurity AddendumLegal Compliance and EthicsLegal Compliance & EthicsCode of ConductThird Party Code of ConductModern Slavery StatementFrance Pay Equity ReportSubscribe to UpdatesMaster Cloud Services AgreementThis Master Cloud Services Agreement (the “MCSA”) is entered into as of the Effective Date between Databricks, Inc. (“Databricks” or “we”) and Customer (as defined below) and governs Customer’s use of the Databricks Services, including the right to access and use the Databricks data processing platform services (the “Platform Services”), on each cloud service where Databricks directly provides customers with access to such Platform Services. For the avoidance of doubt, this Agreement does not govern the use of Databricks Powered Services. Unless otherwise indicated, capitalized terms have the meaning assigned to them in this MCSA or in an incorporated Schedule.If you are entering into this MCSA on behalf of a company (such as your employer) or other legal entity, you represent and warrant that You are authorized to bind that entity to this MCSA, in which case “Customer,” “you,” or “your” will refer to that entity (otherwise, such terms refer to you as an individual). If you do not have authority to bind Your entity or do not agree with any provision of this MCSA, you must not accept this MCSA and may not use the Databricks Services.By accepting this MCSA, either by executing this MCSA, an Order, or another agreement that explicitly incorporates this MCSA by reference, Customer enters into the MCSA and the following Schedules, each of which are incorporated into the MCSA and apply to the provision of the applicable Databricks Services upon your ordering such service:Advisory ServicesTraining ServicesU.S. Public Sector ServicesYour Order may include one or more of the following: (a) the Platform Services, (b) support services (“Support Services“), (c) training services (“Training Services“), or (d) advisory services (“Advisory Services,” and together with any other services provided by Databricks, (a), (b), (c), and (d) shall be defined as the “Databricks Services”). You acknowledge that no term in any Order entered into via a reseller will be deemed to modify the Agreement unless pre-authorized in writing by Databricks. Definitions. Defined terms are set out below. Capitalized terms used but not defined in a Schedule or an Order will have the meaning assigned to them, if any, within this MCSA.  “Acceptable Use Policy” means the acceptable use policy governing the Platform Services located at databricks.com/legal/aup.“Affiliate” of a party means an entity that controls, is actually or in effect controlled by, or is under common control with such party.“Agreement” means this MCSA, the referenced Schedules, and any accompanying or future Order you enter into under this MCSA.“Authorized User” means employees or agents of Customer or its Affiliates selected by Customer to access and use the Platform Services.“Beta Service” means any feature of the  Databricks Services ( that is clearly designated as “beta”, “experimental”, “preview” or similar, that is provided prior to general commercial release, and that Databricks at its sole discretion offers to Customer, and Customer at its sole discretion elects to use."Cloud Environment” means a cloud or other compute or storage infrastructure controlled by a party or by an external user (as may be defined where appropriate by schedule or amendment hereto) according to context and utilized under the Agreement.“Cloud Service Provider” means a cloud service provider on whose platform Databricks directly provides the Platform Services. For clarity, the Databricks Powered Services are not directly provided by Databricks and are not considered Platform Services under this Agreement.“Customer Content” means all data input into or made available by Customer for processing within the Platform Services or Support Services or generated from the Platform or Support Services.“Customer Data” means the data, other than Customer Instructional Input, made available by Customer and its Authorized Users for processing within the Platform Services or Support Services. “Customer Instructional Input” means information other than Customer Data that Customer inputs into the Platform Services to direct how the Platform Services process Customer Data, including without limitation the code and any libraries (including third party libraries) Customer utilizes within the Platform Services.“Customer Results” means any output Customer or its Authorized Users generate from their use of the Platform Services."Databricks Global Code of Conduct” means the Databricks Global Code of Conduct located at  databricks.com/global-code-of-conduct.“Databricks Powered Service” means any third-party software or service powered by Databricks, including those at https://www.databricks.com/legal/cloud-provider-directory, that is provided to you under contractual terms between you and a third-party.  This Agreement does not amend any term of such contract; the Databricks Powered Services are not considered Databricks Services (and, for the avoidance of doubt, are not considered Platform Services) under the Agreement and Databricks shall have no liability to you relating to your use of the Databricks Powered Services.“Documentation” means the documentation related to the Platform Services located at databricks.com/documentation.“DPA” means the  Data Processing Addendum located at databricks.com/legal/dpa.“Effective Date” means the earliest of: the effective date of the initial Order that references this MCSA, the date of last signature of the MCSA, or the date you first access or use any Databricks Services.“Fees” means all amounts payable for Databricks Services.“HIPAA” means the Health Insurance Portability and Accountability Act of 1996, as amended and supplemented from time to time.“Intellectual Property Rights” means all worldwide intellectual property rights available under applicable laws including without limitation rights with respect to patents, copyrights, moral rights, trademarks, trade secrets, know-how, and databases.“Order” means an order form (“Order Form”), online order (including the provisioning of any Databricks Services) or similar agreement for the provision of Databricks Services, entered into by the parties or any of their Affiliates, incorporated by reference into, and governed by, the Agreement. By entering into an Order Form hereunder, an Affiliate agrees to be bound by the terms of this Agreement as if it were an original party hereto.“PCI-DSS” means the Payment Card Industry Data Security Standard.“PHI” means health information regulated by HIPAA or by any similar privacy law governing the use of or access to health information.“Security Addendum” means the Platform Security Addendum located at databricks.com/legal/security-addendum.“Schedule” means any of the schedules referenced herein or otherwise set forth in an Order.“Shared Data” means  (i) Customer Content that you electto share with third parties or  (ii) data you elect to receive from third parties, under an applicable configuration of the Platform Services.“Support Policy” means the available Support Services plans located at databricks.com/support.“System” means any application, computing or storage device, or network.“Usage Data” means usage data and telemetry collected by Databricks relating to Customer's use of the Platform Services. Usage Data may contain queries entered by an Authorized User but not the results of those queries.“Workspace” means a Platform Services environment.Confidentiality.Confidential Information. “Confidential Information” means any business or technical information disclosed by either party to the other that is designated as confidential at the time of disclosure or that, under the circumstances, a person exercising reasonable business judgment would understand to be confidential or proprietary. Without limiting the foregoing, all non-public elements of the Databricks Services are Databricks’ Confidential Information, Customer Content is Customer’s Confidential Information, and the terms of the Agreement and any information that either party conveys to the other party concerning data security measures, incidents, or findings constitute Confidential Information of both parties. Confidential Information will not include information that the receiving party can demonstrate (a) is or becomes publicly known through no fault of the receiving party, (b) is, when it is supplied, already known to whoever it is disclosed to in circumstances in which they are not prevented from disclosing it to others, (c) is independently obtained by whoever it is disclosed to in circumstances in which they are not prevented from disclosing it to others or (d) was independently developed by the receiving party without use of or reference to the Confidential Information.Confidentiality. A receiving party will not use the disclosing party’s Confidential Information except as permitted under the Agreement or to enforce its rights under the Agreement and will not disclose such Confidential Information to any third party except to those of its employees and/or subcontractors who have a bona fide need to know such Confidential Information for the performance or enforcement of the Agreement; provided that each such employee and/or subcontractor is bound by a written agreement that contains use and disclosure restrictions consistent with the terms set forth in this Section 2.2. Each receiving party will protect the disclosing party’s Confidential Information from unauthorized use and disclosure using efforts equivalent to those that the receiving party ordinarily uses with respect to its own Confidential Information of similar nature and in no event using less than a reasonable standard of care; provided, however, that a party may disclose such Confidential Information as required by applicable laws, subject to the party required to make such disclosure giving reasonable notice to the other party to enable it to contest such order or requirement or limit the scope of such request. The provisions of this Section 2.2 will supersede any non-disclosure agreement by and between the parties (whether entered into before, on or after the Effective Date) that would purport to address the confidentiality and security of Customer Content and such agreement will have no further force or effect with respect to Customer Content.Equitable Relief. Each party acknowledges and agrees that the other party may be irreparably harmed in the event that such party breaches Section 2.2 (Confidentiality), and that monetary damages alone cannot fully compensate the non-breaching party for such harm. Accordingly, each party hereto hereby agrees that the non-breaching party will be entitled to seek injunctive relief to prevent or stop such breach, and to obtain specific enforcement thereof. Any such equitable remedies obtained will be in addition to, and not foreclose, any other remedies that may be available.Intellectual Property. Ownership of the Databricks Services. Except for the limited licenses expressly set forth in the Agreement, Databricks retains all Intellectual Property Rights and all other proprietary rights related to the Databricks Services. You will not delete or alter the copyright, trademark, or other proprietary rights notices or markings appearing within the Databricks Services as delivered to you. You agree that the Databricks Services are provided on a non-exclusive basis and that no transfer of ownership of Intellectual Property Rights will occur. You further acknowledge and agree that portions of the Databricks Services, including but not limited to the source code and the specific design and structure of individual modules or programs, constitute or contain trade secrets and other Intellectual Property Rights of Databricks and its licensors.Ownership of Customer Content. As between you and Databricks, you retain all ownership or license rights in Customer Content.Usage Data. Notwithstanding anything to the contrary in the Agreement, Databricks may collect and use Usage Data to develop, improve, operate, and support its products and services. Databricks will not share any Usage Data that includes Customer Confidential Information except either (a) to the extent that such Usage Data is anonymized and aggregated such that it does not identify Customer or Customer Confidential Information; or (b) in accordance with Section 2 (Confidentiality) of this Agreement.Feedback. You are under no duty to provide any suggestions, enhancement requests, or other feedback regarding the Databricks Services (“Feedback”). If you choose to offer Feedback to Databricks, you hereby grant Databricks a perpetual, irrevocable, non-exclusive, worldwide, fully-paid, sub-licensable, assignable license to incorporate into the Databricks Services or otherwise use any Feedback Databricks receives from you solely to improve Databricks products and services, provided that such Feedback is used in a manner that is not attributable to you. You also irrevocably waive in favor of Databricks any moral rights which you may have in such Feedback pursuant to applicable copyright law. Databricks acknowledges that any Feedback is provided on an “as-is” basis with no warranties of any kind.Use of the Platform Services. Access. Databricks will make the Platform Services available to Customer and its Authorized Users in accordance with the terms and conditions of this Agreement, the Documentation, and an applicable Order.Databricks Responsibilities. Services. Databricks is responsible for (a) the operation of the Databricks Cloud Environment; and (b) the Databricks software used to operate the computing resources. Security Measures. Databricks shall implement reasonable administrative, physical, and technical safeguards to protect the security of the Platform Services and the Customer Content as set forth in the Security Addendum (“Security Measures”); and shall, without limiting the foregoing, maintain certification to ISO/IEC 27001:2013 or equivalent/greater standards during the term of this Agreement. Additionally, while it is your responsibility to back up Customer Content, Databricks will, at your reasonable request, provide commercially reasonable assistance with recovery efforts. While Databricks may update the Security Measures, it shall not materially diminish the effectiveness of the Security Measures.Customer Responsibilities. General Responsibilities.  You acknowledge and agree that you are responsible for: ensuring that each Authorized User has their own credentials, protecting those credentials, and not permitting any sharing of credentials;securing any Customer Cloud Environment, and any Customer System;backing up Customer Content; configuring the Platform Services in an appropriate way taking into account the sensitivity of the Customer Content that you choose to process using the Platform Services, including Shared Data; using commercially reasonable efforts to ensure that your Authorized Users review the portions of Documentation relevant to your use of the Platform Services and any security information published by Databricks and referenced therein that is designed to assist you in securing Customer Content;risks associated with all use of the Platform Services by an Authorized User under an Authorized User’s account (including for the payment of Fees related to such use), whether such action was taken by an Authorized User or by another party, and whether or not such action was authorized by an Authorized User, provided that such action was not (1) taken by Databricks or by a party acting under the direction of Databricks, or (2) an action by a third party that Databricks should reasonably have prevented. Use Limits. You will not, and will not permit your Authorized Users to: violate the Acceptable Use Policy or use the Platform Services other than in accordance with the Documentation;copy, modify, disassemble, decompile, reverse engineer, or attempt to view or discover the source code of the Platform Services, in whole or in part, or permit or authorize a third party to do so, except to the extent such activities are expressly permitted by the Agreement or by law notwithstanding this prohibition;sell, resell, license, sublicense, distribute, rent, lease, or otherwise provide access to the Platform Services to any third party except to the extent explicitly authorized in writing by Databricks;use the Platform Services to develop or offer a service made available to any third party that could reasonably be seen to serve as a substitute for such third party’s possible purchase of any Databricks product or service;transfer or assign any of your rights hereunder except as permitted under Section 12.5  (Assignment); orduring any free trial period granted by Databricks, including during the use of any Beta Service, use the Databricks Services for any purpose other than to evaluate whether to purchase the Databricks Services.Shared Responsibilities. Customer acknowledges that the Platform Services may be implemented in a manner that divides the Platform Services between the Customer Cloud Environment and the Databricks Cloud Environment, and that accordingly each party must undertake certain technical and organizational measures in order to protect the Platform Services and the Customer Content.  Permitted Benchmarking. You may perform benchmarks or comparative tests or evaluations (each, a “Benchmark”) of the Platform Services and may disclose the results of the Benchmark other than for Beta Services. If you perform or disclose, or direct or permit any third party to perform or disclose, any Benchmark of any of the Platform Services, you (i) will include in any disclosure, and will disclose to us, all information necessary to replicate such Benchmark, and (ii) agree that we may perform and disclose the results of Benchmarks of your products or services, irrespective of any restrictions on Benchmarks in the terms governing your products or services.Customer Content.Limits on What Customer Content May Contain. You agree that you will not include in Customer Content, or generate any Customer Results that include, any data for which you do not have all rights, power and authority necessary for its collection, use and processing as contemplated by the Agreement.PHI Data. You shall not include in Customer Content any PHI unless (a) you have entered into an Order permitting you to process PHI, and then only with respect to the Workspace(s) or account (if applicable) (together the “PHI Permitted Workspaces”) identified on such Order; and (b) you have entered into a Business Associate Agreement (“BAA”) with Databricks. If you have not entered into a BAA with Databricks or if you provide PHI to Databricks other than through the PHI Permitted Workspaces, Databricks will have no liability under the Agreement relating to PHI notwithstanding anything in the Agreement or in HIPAA or any similar laws to the contrary.Cardholder Data. You shall not include in Customer Content any cardholder data as defined under PCI-DSS (“Cardholder Data”) unless (1) you are processing the Cardholder Data in a PCI Permitted Workspace and configure and operate such Workspace in accordance with the Documentation; and (2) you have entered into an Order that (a) specifies Databricks then-current certification status under PCI-DSS; and (b) explicitly permits you to process Cardholder Data within the Platform Services (including specifying the types and quantities of such data) and then only with respect to the Workspace(s) identified in such Order (the “PCI Permitted Workspaces”). Databricks will have no liability under the Agreement relating to Cardholder Data that is not processed in accordance with the terms of this section notwithstanding anything in the Agreement or in PCI-DSS or any similar regulations to the contrary.Architectures and Services Updates. Databricks provides the Platform Services according to different architectural models (e.g. models where computing resources are deployed into Customer Cloud Environment and models where computing resources are deployed into Databricks Cloud Environments) depending on the specific feature being used by Customer, as further described in the Documentation. Accordingly, Customer acknowledges and agrees that different portions of the Platform Services are and may in the future be subject to changes reflected in the Documentation or terms and conditions that provide for different rights and responsibilities of the parties for their use.  Databricks Container ServicesAs part of Databricks Container Services, Databricks may provide a sample stub container file (a “Sample Container”) that you may use to create a custom container file (a “Modified Sample Container”). Databricks grants you a limited, non-exclusive right and license to use and modify the Sample Container to create a Modified Sample Container to use with Databricks Container Services. The Sample Container may contain libraries that are subject to open source licenses. It is your obligation to review and comply with any such licenses prior to your creation of the Modified Sample Container.You may not: include in a Custom Container any code: (i) for which you do not have the necessary right or license; or (ii) that contains any code that could subject Databricks to any condition that Databricks make any of its source code available or which may impose any other obligation or restriction with respect to Databricks’ Intellectual Property Rights; orattempt to disable or interfere with any technical limitations contained within Databricks Container Services.You grant Databricks a worldwide, non-exclusive royalty free right and license to use, reproduce and make derivative works of the Custom Container solely as necessary to provide Databricks Container Services to Customer.Data Protection. Except with respect to a free trial, the terms of the DPA are hereby incorporated by reference and shall apply to the processing of personal data as described in the DPA.Suspension and Termination of Platform Services. Suspension. Databricks may temporarily suspend any or all Workspaces at any time: (i) immediately without notice if Databricks reasonably suspects that you have violated your obligations under Section 4.3 (Customer Responsibilities), Section 4.6 (Customer Content), or Section 11 (Compliance with Laws) in a manner that may cause material harm or material risk of harm to Databricks or to any other party; (ii) or if you (or any third party responsible for making payment on your behalf) fail to pay undisputed Fees after receiving notice that you are delinquent in payment.Termination; Workspace Cancellation. Databricks may terminate your use of the Platform Services and any Workspaces and any applicable Order for material breach, including without limitation your breach of Section 4.10(a), that in each case is either not cured within thirty (30) days of notice of such breach or that by its nature is incapable of cure. If the Agreement or any applicable Order is terminated for any reason or upon your written request, Databricks may cancel your Workspaces. Upon termination of the Agreement for any reason you will delete all stored elements of the Platform Services from your Systems.Deletion of Customer Content upon Workspace Cancellation. Databricks will automatically delete all Customer Content contained within a Workspace within thirty (30) days following the cancellation of such Workspace. Monthly Pay-As-You-Go (PAYG) Services. Notwithstanding anything in the Agreement to the contrary, Databricks may suspend or terminate any Platform Services provided on a month-to-month basis with payment based only on Customer’s usage of the Platform Services during the billing month and delete any Customer Content relating to such Workspace that may be stored within the Platform Services or other Databricks’ Systems, upon thirty (30) days’ prior written notice (email sufficient) if Databricks reasonably determines the account is inactive as set forth in the Acceptable Use Policy.Notice. Notwithstanding Section 12.6 (Notice), notice under this Section 4.10 (Suspension; Termination) may be provided by email sent to a person the party providing notice reasonably believes to have responsibility for the other party’s activities under the Agreement.Support Services. Databricks will provide you with the level of Support Services specified in an Order in accordance with the Support Policy. If Support Services are not specified in an Order, your support shall be limited to public Documentation and forums.Warranties; Remedy.Warranties. Each party warrants that it is validly entering into the Agreement and has the legal authority to do so.  In addition to the warranties provided by the parties as set forth in any applicable Schedule, Databricks warrants that, during the term of any Order for Platform Services: (a) the Platform Services will function substantially in accordance with the Documentation; and (b) Databricks will employ commercially reasonable efforts in accordance with industry standards to prevent the transmission of malware or malicious code via the Platform Services.Disclaimer. THE WARRANTIES PROVIDED BY DATABRICKS IN SECTION 6.1 (WARRANTIES) ARE EXCLUSIVE AND IN LIEU OF ALL OTHER WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, REGARDING DATABRICKS AND DATABRICKS’ SERVICES PROVIDED HEREUNDER. DATABRICKS AND ITS LICENSORS SPECIFICALLY DISCLAIM ALL IMPLIED WARRANTIES, CONDITIONS AND OTHER TERMS, INCLUDING, WITHOUT LIMITATION, IMPLIED WARRANTIES OF MERCHANTABILITY, SATISFACTORY QUALITY OR FITNESS FOR A PARTICULAR PURPOSE. NOTWITHSTANDING ANYTHING TO THE CONTRARY HEREIN: (a) ANY SERVICES PROVIDED UNDER ANY FREE TRIAL PERIOD ARE PROVIDED “AS-IS” AND WITHOUT WARRANTY OF ANY KIND; (b) WITHOUT LIMITATION, DATABRICKS DOES NOT MAKE ANY WARRANTY OF ACCURACY, COMPLETENESS, TIMELINESS, OR UNINTERRUPTABILITY, OF THE PLATFORM SERVICES; (c), DATABRICKS IS NOT RESPONSIBLE FOR RESULTS OBTAINED FROM THE USE OF THE DATABRICKS SERVICES OR FOR CONCLUSIONS DRAWN FROM SUCH USE; AND (d) EXCEPT AS OTHERWISE STATED IN SECTION 4 (USE OF THE PLATFORM SERVICES), DATABRICKS’ REASONABLE EFFORTS TO RESTORE LOST OR CORRUPTED CUSTOMER INSTRUCTIONAL INPUT DESCRIBED THEREIN SHALL BE DATABRICKS’ SOLE LIABILITY AND YOUR SOLE AND EXCLUSIVE REMEDY IN THE EVENT OF ANY LOSS OR CORRUPTION OF CUSTOMER CONTENT IN CONNECTION WITH THE DATABRICKS SERVICES.Platform Services Warranty Remedy. FOR ANY BREACH OF THE WARRANTIES RELATED TO THE PLATFORM SERVICES PROVIDED BY DATABRICKS IN SECTION 6.1 (WARRANTIES), YOUR EXCLUSIVE REMEDY AND DATABRICKS’ ENTIRE LIABILITY WILL BE THE MATERIAL CORRECTION OF THE DEFICIENT SERVICES THAT CAUSED THE BREACH OF WARRANTY, OR, IF WE CANNOT SUBSTANTIALLY CORRECT THE DEFICIENCY IN A COMMERCIALLY REASONABLE MANNER, DATABRICKS WILL END THE DEFICIENT SERVICES AND REFUND TO YOU THE PORTION OF ANY PREPAID FEES PAID BY YOU TO DATABRICKS APPLICABLE TO THE PERIOD FOLLOWING THE EFFECTIVE DATE OF TERMINATION.Indemnification.  Indemnification by Databricks. Subject to Section 7.5 (Conditions of Indemnification), Databricks will defend Customer against any claim, demand, suit or proceeding made or brought against Customer by a third party (a “Claim Against Customer”)alleging that the Databricks Services as provided to Customer by Databricks or Customer’s use of the Databricks Services in accordance with the Documentation and the Agreement infringes or misappropriates such party’s Intellectual Property Rights (an “IP Claim”), and will indemnify Customer from and against any damages, attorney fees and costs finally awarded against Customer as a result of, or for amounts paid by Customer under a settlement approved by Databricks in writing of, a Claim Against Customer. Notwithstanding the foregoing, Databricks will have no liability for any infringement or misappropriation claim of any kind if such claim arises from: (a) the public open source version of Apache Spark (located at github.com/apache/spark) if the claim of infringement or misappropriation does not allege specifically that the infringement or misappropriation arises from the Platform Services (as opposed to Apache Spark itself); (b) the combination, operation or use of the Databricks Services with equipment, devices, software or data (including without limitation your Confidential Information) not supplied by Databricks if a claim would not have occurred but for such combination, operation or use; or (c) your or an Authorized User’s use of the Databricks Services other than in accordance with the Documentation and the Agreement.Other Remedies. If Databricks receives information about an infringement or misappropriation claim related to a Databricks Service or otherwise becomes aware of a claim that the provision of any of the Databricks Services is unlawful in a particular territory, then Databricks may at its sole option and expense: (a) replace or modify the applicable Databricks Services to make them non-infringing and of substantially equivalent functionality; (b) procure for you the right to continue using the Databricks Services under the terms of the Agreement; or (c) if Databricks is unable to accomplish either (a) or (b) despite using its reasonable efforts, terminate your rights and Databricks’ obligations under the Agreement with respect to such Databricks Services and refund to you any Fees prepaid by you to Databricks for Databricks Services not yet provided.Indemnification by Customer. Subject to Section 7.5 (Conditions of Indemnification), Customer will defend Databricks against any claim, demand, suit or proceeding made or brought against  Databricks by a third party (a “Claim Against Databricks”) (a) arising from or related to Customer’s use of the Databricks Services in violation of any applicable laws, the rights of a third party, or the Agreement, or (b) arising from or related to Customer Content or its use with the Databricks Services, (c) alleging that any information and / or  materials you provide to Databricks for Databricks to perform Advisory Services as defined in an Advisory Services Schedule (if applicable) (“Customer Materials”) or the use of Customer Materials with the Databricks Services infringes or misappropriates such party’s Intellectual Property Rights, and / or (d) arising from any instructions provided by Customer to Databricks in the creation by Databricks of the Deliverables (as defined in the Advisory Services Schedule (if applicable)), and will indemnify Databricks from and against any damages, attorney fees and costs finally awarded against Databricks as a result of a Claim Against Databricks, or for amounts paid by Databricks under a settlement approved by Customer in writing.Sole Remedy. SUBJECT TO SECTION 7.5 (CONDITIONS OF INDEMNIFICATION) BELOW, THE FOREGOING SECTIONS 7.1 (INDEMNIFICATION BY DATABRICKS) AND 7.2 (OTHER REMEDIES) STATE THE ENTIRE OBLIGATION OF DATABRICKS AND ITS LICENSORS WITH RESPECT TO ANY ALLEGED OR ACTUAL INFRINGEMENT OR MISAPPROPRIATION OF INTELLECTUAL PROPERTY RIGHTS BY THE DATABRICKS SERVICES.Conditions of Indemnification. As a condition to an indemnifying party’s (each, an “Indemnitor”) obligations under this Section 7 (Indemnification), a party seeking indemnification (each, an ”Indemnitee”) will: (a) promptly notify the Indemnitor of the claim for which the Indemnitee is seeking indemnification (but late notice will only relieve Indemnitor of its obligation to indemnify to the extent that it has been prejudiced by the delay); (b) grant the Indemnitor sole control of the defense (including selection of counsel) and settlement of the claim; (c) provide the Indemnitor, at the Indemnitor’s expense, with all assistance, information and authority reasonably required for the defense and settlement of the claim; and (d) preserve and will not waive legal, professional or any other privilege attaching to any of the records, documents, or other information in relation to such claim without prior notification of consent by the Indemnitor. The Indemnitor will not settle any claim in a manner that does not fully discharge the claim against an Indemnitee or that imposes any obligation on, or restricts any right of, an Indemnitee without the Indemnitee’s prior written consent, which may not be unreasonably withheld or delayed. An Indemnitee has the right to retain counsel, at the Indemnitee’s expense, to participate in the defense or settlement of any claim. The Indemnitor will not be liable for any settlement or compromise that an Indemnitee enters into without the Indemnitor’s prior written consent.Limitation of Liability. EXCEPT WITH RESPECT TO (I) LIABILITY THAT CANNOT BE EXCLUDED OR LIMITED BY APPLICABLE LAWS, (II) LIABILITY ARISING OUT OF FRAUD OR FRAUDULENT MISREPRESENTATION, OR (III) CUSTOMER’S INDEMNIFICATION OBLIGATIONS, NEITHER PARTY WILL HAVE ANY LIABILITY FOR: (A) INDIRECT, INCIDENTAL, SPECIAL, PUNITIVE, OR CONSEQUENTIAL LOSS OR DAMAGES; (B) LOST PROFITS OR REVENUE; (C) LOSS OF GOODWILL; (D) LOSS OF DATA; OR (E) LOSS ARISING FROM INACCURATE OR UNEXPECTED RESULTS ARISING FROM THE USE OF THE DATABRICKS SERVICES, REGARDLESS OF WHETHER SUCH PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH LOSSES OR DAMAGES ARISING.SUBJECT TO SECTIONS 8.1, 8.3, 8.4 AND 8.5, EXCEPT WITH RESPECT TO LIABILITY ARISING OUT OF: (I) PERSONAL INJURY OR DEATH CAUSED BY THE NEGLIGENCE OF A PARTY, ITS EMPLOYEES, OR AGENTS; (II) DATABRICKS’ INDEMNIFICATION OBLIGATIONS FOR AN IP CLAIM; OR (III) CUSTOMER’S INDEMNIFICATION OBLIGATIONS, IN NO EVENT WILL THE AGGREGATE LIABILITY OF EACH PARTY TOGETHER WITH ALL OF ITS AFFILIATES ARISING OUT OF OR RELATED TO THE AGREEMENT EXCEED THE TOTAL AMOUNT PAID BY CUSTOMER AND ITS AFFILIATES FOR THE DATABRICKS SERVICES GIVING RISE TO THE LIABILITY IN THE TWELVE (12) MONTHS PRECEDING THE FIRST INCIDENT OUT OF WHICH THE LIABILITY AROSE (THE “GENERAL CAP”). THE FOREGOING LIMITATION WILL APPLY WHETHER AN ACTION IS IN CONTRACT OR TORT AND REGARDLESS OF THE THEORY OF LIABILITY, BUT WILL NOT LIMIT CUSTOMER’S AND ITS AFFILIATES’ PAYMENT OBLIGATIONS UNDER SECTION 10 (PAYMENT).SUBJECT TO SECTIONS 8.1, 8.4 AND 8.5, DATABRICKS’ AGGREGATE LIABILITY FOR ANY CLAIMS OR DAMAGES, DIRECT OR OTHERWISE, ARISING OUT OF OR IN CONNECTION WITH DATABRICKS’ BREACH OF ITS CONFIDENTIALITY OBLIGATIONS (SECTION 2.2) OR, WITH RESPECT TO THE PROVISION BY DATABRICKS OF THE PLATFORM SERVICES (IF APPLICABLE), THE DATA PROTECTION AND SECURITY OBLIGATIONS SET FORTH IN THIS AGREEMENT AND THE DPA, WHERE SUCH BREACH RESULTS IN UNAUTHORIZED DISCLOSURE OF CUSTOMER CONTENT, EXCEPT TO THE EXTENT SUCH CLAIMS OR DAMAGES ARE CAUSED BY DATABRICKS’ GROSS NEGLIGENCE OR WILLFUL MISCONDUCT, SHALL BE LIMITED TO TWO (2) TIMES THE TOTAL AMOUNT PAID BY CUSTOMER AND ITS AFFILIATES FOR THE DATABRICKS SERVICES GIVING RISE TO THE LIABILITY IN THE TWELVE (12) MONTHS PRECEDING THE FIRST INCIDENT OUT OF WHICH THE LIABILITY AROSE (“SUPERCAP”).IN NO EVENT SHALL DATABRICKS BE LIABLE FOR THE SAME EVENT UNDER BOTH THE GENERAL CAP AND THE SUPERCAP. SIMILARLY, THOSE CAPS SHALL NOT BE CUMULATIVE; IF THERE ARE ONE OR MORE CLAIMS SUBJECT TO EACH OF THOSE CAPS, THE MAXIMUM TOTAL LIABILITY FOR ALL CLAIMS IN THE AGGREGATE SHALL NOT EXCEED THE SUPERCAP.NOTWITHSTANDING ANYTHING CONTAINED ABOVE, DATABRICKS' LIABILITY RELATING TO BETA SERVICES OR ANY DATABRICKS SERVICES PROVIDED FREE OF CHARGE, INCLUDING ANY DATABRICKS SERVICES PROVIDED DURING A FREE TRIAL PERIOD, WILL BE LIMITED TO FIVE THOUSAND US DOLLARS (USD $5,000).TermTerm of Agreement. The Agreement will become effective on the Effective Date and will continue in full force and effect until terminated by either party pursuant to this Section 9 (Term). The Agreement may be terminated (i) by either party on thirty (30) days’ prior written notice if (a) there are no operative Orders outstanding or (b) the other party is in material breach of the Agreement and the breaching party fails to cure the breach prior to the end of the notice period; or (ii) by Databricks upon thirty (30) days’ prior written notice following your receipt of a notice that you are delinquent in the payment of undisputed Fees. If the Agreement terminates pursuant to the prior sentence due to Databricks’ material breach, Databricks will refund to you that portion of any prepayments made to Databricks related to Databricks Services not yet provided. Either party can immediately terminate the Agreement if the other becomes insolvent, makes an assignment for the benefit of its creditors, has a receiver, examiner, or administrator of its undertaking of the whole or a substantial part of its assets appointed, or an order is made, or an effective resolution is passed, for its administration, examinership, receivership, liquidation, winding-up or other similar process, or has any distress, execution or other process levied or enforced against the whole or a substantial part of its assets (which is not discharged, paid out, withdrawn or removed within 30 days), or is subject to any proceedings which are equivalent or substantially similar to any of the foregoing under any applicable jurisdiction, or ceases to conduct business or threatens to do so.Term of Orders. The Term of an Order will be as specified in the Order.Survival. All provisions of the Agreement that by their nature should survive termination will so survive.Payment. Unless your usage of the Databricks Services is being paid for by a third party under contract with Databricks, you will pay all Fees specified in the applicable Order. With respect to direct Order, except as otherwise specified therein: (a) all Fees owed to Databricks will be paid in U.S. Dollars; (b) invoiced payments will be due within 30 days of the date of your receipt of each invoice; (c) Fees for all prepaid committed Databricks Services will be invoiced in full upon execution of the applicable Order; and (d) all excess usage will be invoiced monthly in arrears. With respect to an Order entered into with a reseller, payment terms will be specified on such Order, provided that should you fail to pay Fees when due to a Databricks-authorized reseller, Databricks may seek payment directly from you. All past due payments, except to the extent reasonably disputed, will accrue interest at the highest rate allowed under applicable laws but in no event more than one and one-half percent (1.5%) per month. You will be solely responsible for payment of any applicable sales, value added or use taxes, or similar government fees or taxes.Compliance with Laws.By Databricks Generally. Databricks will provide the Databricks Services in accordance with its obligations under laws and government regulations applicable to Databricks’ provision of the Databricks Services to its customers generally, including, without limitation those related to data protection and data privacy, irrespective of Customer’s particular use of the services.By Customer Generally. You represent and warrant to Databricks that your use of Databricks Services will comply with all applicable laws and government regulations, including without limitation those related to data protection and data privacy. Export Controls; Trade Sanctions. The Databricks Services may be subject to export controls and trade sanctions laws of the United States and other jurisdictions. Customer acknowledges and agrees that it will comply with all applicable export controls and trade sanctions laws, regulations and/or any other relevant restrictions in Customer’s use of the Databricks Services, including that you will not permit access to or use of any Databricks Services in any country where such access or use is subject to a trade embargo or prohibition, and that you will not use Databricks Services in support of any controlled technology, industry, or goods or services, or any other restricted use, without having a valid governmental license, authority, or permission to engage in such conduct. Each party further represents that it (and with respect to Customer, each Authorized User and / or Affiliate accessing the Databricks Services)  is not named on any governmental or quasi-governmental denied party or debarment list relevant to this Agreement, and is not owned directly or indirectly by persons whose aggregated interest in such party is 50% or more and who are named on any such list(s). Business Practices; Code of Conduct. Databricks maintains a set of business practice principles and policies in the Databricks Global Code of Conduct, which employees are required to follow. Databricks will abide by these principles and policies in the conduct of all business for Customer and expects your use of any Databricks Services to be conducted utilizing principles of business ethics and social responsibility and, with respect to any Platform Services, in accordance with Databricks’ Acceptable Use Policy and the applicable Platform Services terms set forth in the Agreement.General. Governing Law and Venue. The governing law and exclusive venue applicable to any lawsuit or other dispute arising in connection with the Agreement will be determined by the location of Customer’s principal place of business (“Domicile”), as follows: Customer’s DomicileGoverning LawVenue(courts with exclusive jurisdiction)CaliforniaCaliforniaSan Francisco(state and U.S. federal courts)Americas (except California and Canada); Middle East; AfricaDelawareDelaware(state and U.S. federal courts)CanadaOntarioTorontoUnited KingdomEngland & WalesLondonEurope (including Turkey)IrelandDublinPacific & AsiaSingaporeSingaporeAustralia and New ZealandAustraliaVictoriaThe parties hereby irrevocably consent to the personal jurisdiction and venue of the courts in the venues shown above. Unless prohibited by governing law or venue, each party irrevocably agrees to waive jury trial.  In all cases, the application of law will be without regard to, or application of, conflict of law rules or principles, and the United Nations Convention on Contracts for the International Sale of Goods will not apply.Insurance Coverage.Databricks will maintain commercially appropriate insurance coverage given the nature of the Databricks Services and Databricks’ obligations under the Agreement. Such insurance will be in an industry standard form with licensed insurance carriers with A.M. Best ratings of A-IX or better, and will include commercially appropriate cyber liability insurance coverage. Upon request, Databricks will provide Customer with certificates of insurance evidencing such coverage.Entire Agreement, Construction, Amendment and Execution. The Agreement is the complete and exclusive understanding and agreement between the parties regarding its subject matter, provided that to the extent Customer uses any Databricks Services subject to Schedules not included in the Agreement, the relevant Schedule in effect at the time of first use at databricks.com/legal/mcsa shall be deemed to govern use of such Databricks Services unless the parties agree otherwise in writing and any reference to a term in such Schedule shall be interpreted accordingly. Databricks may change and update the Platform Services, in which case Databricks may update the Documentation. To the extent any provision in an Order clearly conflicts with a provision of this MCSA or a provision of an earlier Order, the provision in the new Order will be binding and the conflicting provision in this MCSA or in the earlier Order will be deemed modified solely to the extent reasonably necessary to eliminate the conflict and solely with respect to the new Order (unless expressly intended to permanently amend the Agreement including any Schedule). Customer’s Affiliates may receive the Databricks Services under this Agreement as Authorized Users, however in the event that a Customer Affiliate wishes to execute its own Order subject to the terms of this Agreement then Customer agrees to remain jointly and severally liable for such use. If any provision of the Agreement is held to be unenforceable or invalid, that provision will be enforced to the maximum extent possible and the other provisions will remain in full force and effect. The headings in the Agreement are solely for convenience and will not be taken into consideration in interpretation of the Agreement. Any translation of the Agreement or an Order that is provided as a courtesy shall not be legally binding and the English language version will always prevail. Each party acknowledges and agrees that it has adequate sophistication, including legal representation, fully to review and understand the Agreement; therefore, in interpretation of the Agreement with respect to any drafting ambiguities that may be identified or alleged, no presumption will be given in favor of the non-drafting party. The Agreement may not be modified or amended except by mutual written agreement of the parties. Without limiting the foregoing, no Customer purchase order will be deemed to modify an Order or the Agreement unless expressly pre-authorized in writing by Databricks. The Agreement may be executed in two or more counterparts, each of which will be deemed an original and all of which, taken together, will constitute one and the same instrument. A party’s electronic signature or transmission of any document by electronic means will be deemed to bind such party as if signed and transmitted in physical form.Publicity. Customer consents to Databricks’ use of Customer's name and logo for public identification as a customer, along with general descriptions of any non-confidential matters Databricks has handled for Customer in promotional marketing materials and press releases. In addition, upon request, Customer consents to participating in a case study regarding its experiences with the Databricks Services ("Case Study"), and inclusion of the Case Study in promotional marketing materials and press releases.Assignment. No assignment, novation or transfer of a party’s rights and obligations under the Agreement (“Assignment”) is permitted except with the prior written approval of the other party, which will not be unreasonably withheld.  Notwithstanding the foregoing, either party may freely make an Assignment to a successor in interest upon a change of control; if such Assignment is to a direct competitor of the other party or would cause the other party to become in violation of applicable laws that is not reasonably addressable, such other party may terminate the Agreement upon written notice.Notice. Any required notice under the Agreement will be deemed given when received by letter delivered by nationally recognized overnight delivery service or recorded prepaid mail. Unless notified in writing of a change of address, you will send any required notice to Databricks, Inc., 160 Spear Street, Suite 1300, San Francisco, CA 94105, USA, attention: Legal Department, or to the alternative Databricks Affiliate (if any) identified in an applicable Order, and Databricks will send any required notice to you directed to the most recent address you have provided to Databricks for such notice.Force Majeure. Neither party will be liable or responsible to the other party nor be deemed to have defaulted under or breached the Agreement for any failure or delay in fulfilling or performing any term of the Agreement (except for any obligations to make payments to the other party), when and to the extent such failure or delay is caused by or results from acts beyond the impacted party’s (“Impacted Party”) reasonable control, including without limitation the following force majeure events (“Force Majeure Event(s)“): (a) acts of God, (b) acts of government, including any changes in law or regulations, (c) acts or omissions of third parties, (d) flood, fire, earthquakes, civil unrest, wars, acts of terror, pandemics, or strikes or other actions taken by labor organizations, (e) computer, telecommunications, the Internet, Internet service provider or hosting facility failures or delays involving hardware, software or power systems not within the Impacted Party’s possession or reasonable control, (f) network intrusions or denial of service attacks, or (g) any other cause, whether similar or dissimilar to any of the foregoing, that is beyond the Impacted Party’s reasonable control.Last Updated December 1, 2022. For earlier versions, please send a request to [email protected] (with “TOS Request” in the subject).MCSA_OnlineStandard_ENG_v.3.0_20221201ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/legal/training-services-schedule
Training Services Schedule | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWLegalTermsDatabricks Master Cloud Services AgreementAdvisory ServicesTraining ServicesUS Public Sector ServicesExternal User TermsWebsite Terms of UseCommunity Edition Terms of ServiceAcceptable Use PolicyPrivacyPrivacy NoticeCookie NoticeApplicant Privacy NoticeDatabricks SubprocessorsPrivacy FAQsDatabricks Data Processing AddendumAmendment to Data Processing AddendumSecurityDatabricks SecuritySecurity AddendumLegal Compliance and EthicsLegal Compliance & EthicsCode of ConductThird Party Code of ConductModern Slavery StatementFrance Pay Equity ReportSubscribe to UpdatesTraining Services ScheduleThis Schedule sets forth terms related to the Training Services and is incorporated as part of the Master Cloud Services Agreement (“MCSA“). The MCSA and this Schedule, together with any other Schedules that reference or are otherwise incorporated into the MCSA, and any accompanying or future Order you enter into with Databricks issued under the MCSA, comprise the Agreement. This Schedule will co-terminate with the MCSA. Other Schedules do not apply to the services ordered under this Schedule unless expressly referenced as being applicable. Capitalized terms used but not defined in this Schedule have the meaning assigned to them in the MCSA.Additional Definitions.“Course” means an instance of either Instructor-Led Training Services or Self-Paced Training Services“Course Materials” means the training materials and other information and content provided by Databricks in conducting the Training ServicesGenerally. Databricks may provide, as set forth in an Order, certain Training Services, delivered (i) by instructors (“Instructor-led Training Services”), either in person or online-only; or (ii) as a self-paced online training course (“Self-Paced Training Services”). If we have agreed to provide you with Training Services, we will provide qualified training personnel and/or suitable training materials. You will make available to Databricks any materials Databricks reasonably requires to perform the Training Services, but unless agreed between the parties in writing, you will not provide Databricks any Customer Content for use with the Training Services.Instructor-led Training Services. If we have agreed to provide you with Instructor-led Training Services, except as otherwise mutually agreed upon by the parties, you will, as reasonably applicable: (i) provide qualified personnel to assist in coordinating and implementing the Instructor-led Training Services; (ii) provide Databricks with access to your sites and facilities (or temporary off-site facilities) during normal business hours and as otherwise reasonably required by Databricks to perform the Instructor-led Training Services; (iii) provide Databricks with such working space and office support as Databricks may reasonably request; and (iv) perform such tasks as may be reasonably required to permit Databricks to perform the Instructor-led Training Services.Self-Paced Training Services. Databricks may make available certain Self-Paced Training Services. Unless otherwise set forth in an Order or when signing up for a Self-Paced Training Service, the Self-Paced Training Services will expire 12 months from the earlier of purchase or activation and are licensed on a per-user basis.Course Materials.Ownership of Course Materials. Databricks retains all Intellectual Property Rights and all other proprietary rights related to the Course Materials. You will not delete or alter the copyright, trademark, or other proprietary rights notices or markings appearing within the Course Materials as delivered to you. You agree that the Course Materials are provided on a non-exclusive basis and not sold. You further acknowledge and agree that portions of the Course Materials, including but not limited to the source code and the specific design and structure of individual modules or programs, constitute or contain trade secrets and other Intellectual Property Rights of Databricks and its licensors.Course Materials License. Databricks grants a limited, non-sublicensable, non-transferable, license to the Course Materials, solely for the internal educational use by individuals who attend a training course (“Students”). Unless indicated by a Databricks instructor, Students are permitted to retain any Course Materials provided during the Course for continued learning following the conclusion of the Course. For the avoidance of doubt, Course Materials may not be used other than by the Students who received them, and may not be shared with individuals who did not attend a Course.Expenses. Customer will reimburse Databricks for reasonable travel expenses. Customer is responsible for all training venue expenses.Compliance with your Onsite Access Policies. If, in the course of providing Databricks Services, Databricks personnel go onsite at your premises, Databricks will require such personnel to comply with your commercially reasonable onsite access policies that have been provided by you to such personnel reasonably in advance. For the avoidance of doubt, no such policies will be deemed to modify the terms of the Agreement.Use of Workspace during Performance of Training Services. You may be required to use a Workspace in order to receive the benefit of the Training Services. Your use of the Workspace constitutes acceptance of the Platform Services terms of the MCSA unless the Workspace is provided as part of a Databricks Powered Service. If the Workspace is created for you by Databricks, it may be terminated following the conclusion of the Training Services without prior notice or any liability to you unless you enter into an Order with Databricks for its continued use. Last Updated August 12, 2022. For earlier versions, please send a request to [email protected] (with “TOS Request” in the subject). ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. 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https://www.databricks.com/dataaisummit/speaker/pakshal-kumar-h-dhelaria
Pakshal Kumar H Dhelaria - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingPakshal Kumar H DhelariaSenior Software Engineer 1 at CitrixBack to speakersA strong leader with an overall experience of 6+ years solving critical problems in the industry and passionate about innovative architecture/solutions. Expertise in Kafka, Apache Spark, Streaming, Spring, Spring Boot Framework Interested in Machine learning and NLP. Worked on RDBMS (MySQL, Postgres,), Time-Series DB(Druid). Extensively using Functional/Reactive Programming, Java, NodeJS.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/it/professional-services
Databricks Professional Services | DatabricksSkip to main contentPiattaformaThe Databricks Lakehouse PlatformDelta LakeGovernance dei datiIngegneria dei datiStreaming di datiData warehouseCondivisione dei datiMachine LearningData SciencePrezziMarketplaceTecnologia open-sourceSecurity and Trust CenterWEBINAR 18 maggio / 8 AM PT Addio, Data Warehouse. Ciao, Lakehouse. Partecipa per capire come una data lakehouse si inserisce nel tuo stack di dati moderno. Registrati oraSoluzioniSoluzioni per settoreServizi finanziariSanità e bioscienzeIndustria manifatturieraComunicazioni, media e intrattenimentoSettore pubblicoretailVedi tutti i settoriSoluzioni per tipo di applicazioneAcceleratoriServizi professionaliAziende native digitaliMigrazione della piattaforma di dati9 maggio | 8am PT   Scopri la Lakehouse for Manufacturing Scopri come Corning sta prendendo decisioni critiche che riducono al minimo le ispezioni manuali, riducono i costi di spedizione e aumentano la soddisfazione dei clienti.Registrati oggi stessoFormazioneDocumentazioneFormazione e certificazioneDemoRisorseCommunity onlineUniversity AllianceEventiConvegno Dati + AIBlogLabsBeacons  26–29 giugno 2023 Partecipa di persona o sintonizzati per il live streaming del keynoteRegistratiClientiPartnerPartner cloudAWSAzureGoogle CloudPartner ConnectPartner per tecnologie e gestione dei datiProgramma Partner TecnologiciProgramma Data PartnerBuilt on Databricks Partner ProgramPartner di consulenza e SIProgramma partner consulenti e integratori (C&SI)Soluzioni dei partnerConnettiti con soluzioni validate dei nostri partner in pochi clic.RegistratiChi siamoLavorare in DatabricksIl nostro teamConsiglio direttivoBlog aziendaleSala stampaDatabricks VenturesPremi e riconoscimentiContattiScopri perché Gartner ha nominato Databricks fra le aziende leader per il secondo anno consecutivoRichiedi il reportProva DatabricksGuarda le demoContattiAccediJUNE 26-29REGISTER NOWDatabricks Professional ServicesContattaci per maggiori informazioniI progetti arrivano velocemente al successo con competenze avanzate di data engineering, data science e gestione di progetto. I servizi professionali di Databricks possono essere utili in qualsiasi fase del ciclo di gestione dei dati e AI:VantaggiAccelerare il ciclo di gestione dei dati e AI Le nostre offerte e servizi qualificati supportano il percorso di gestione dei dati e AI per ottenere un'accelerazione ottimale e mirata dall'attivazione iniziale dello spazio di lavoro alla costruzione di pratiche di Data Ops e Center of Excellence (COE) su scala aziendale. Ridurre i rischi di progetto Per migrazioni da carichi di lavoro esistenti a Databricks, costruzione di nuovi prodotti di dati o progetti di pipeline per dati e AI e di Machine Learning, ci proponiamo come partner e consulenti di fiducia per ridurre al minimo il rischio e massimizzare il valore in ogni fase del percorso. Operazionalizzare su larga scala Costruire un POC di una pipeline di dati o sviluppare un modello a nodo singolo è relativamente semplice. La sfida consiste nell'adottare ed estendere con successo pratiche di gestione dei dati e AI su tutta l'organizzazione. Noi possiamo aiutare a realizzare questo obiettivo con le nostre offerte e competenze. OffertePortare rapidamente al successo progetti con competenze avanzate di data engineering, data science e gestione di progettoJumpstartAccelera le tempistiche di progetto familiarizzando con la piattaforma Databricks e le funzionalità chiave che seguono le best practice.Hadoop MigrationIl nostro approccio prescrittivo massimizza il valore degli investimenti esistenti nei dati e nella pipeline, oltre a consentire una migrazione senza problemi.Lakehouse Build-outAccelera l'implementazione di una piattaforma semplificata per analisi dei dati, data science e ML, gettando le basi della tua visione del lakehouse.Machine LearningPotenzia le iniziative di ML aziendali e l'adozione con la nostra metodologia prescrittiva.Shared Services AcceleratorAccelera il modello operativo su scala aziendale per sostenere l'eccellenza di dati e AI con la nostra metodologia prescrittiva.Servizi personalizzatiContattaci per richiedere uno Statement of Work su misura per le tue esigenze specifiche.I nostri esperti di servizi professionali hanno dimostrato il loro valore nella realizzazione di progetti per l'intero ciclo di vita, per soddisfare requisiti complessi, molto specifici e mirati.Architetti per soluzioni residenti | data scientistRisorse tecniche di grande esperienza con solide capacità di leadership e di consulenza. Per garantire il successo dei nostri clienti, collaboriamo con un ampio ecosistema di partner e realizziamo insieme a loro le soluzioni richieste.Esperti di Databricks e Spark10 anni di esperienza Solido background nei Big Data Competenze di implementazione pratiche Pianificazione ed esecuzione di progettoAssistenza per progettazione e architettura Supporto per allineare il progetto alle funzionalità della piattaforma Indicazioni per tempistiche di progetti e necessità di risorse Pianificazione dell'implementazione e della produzioneArchitettare le soluzioni nell'ottica della scalabilità Assistenza nello sviluppo di prototipi Risolvi i requisiti di integrazione DevOps Assistenza nell'implementazione di un COESviluppare standard e framework comuni Essere disponibile come risorsa per diversi team Agevolare le interazioni con altri team di Databricks RisorsePanoramica del programma Success CreditModulo di richiesta di riscattoPerché Databricks AcademyLe persone sono il fulcro del successo dei nostri clienti e, grazie alla formazione e alle certificazioni della Databricks Academy, tutti possono imparare l'arte dell'analisi dei dati dal team che ha avviato il progetto di ricerca Spark all'Università di Berkeley. Migliora le tue competenze più velocemente con Databricks Academy.Migliora le tue competenze subitoPronto per cominciare?ContattiProdottoPanoramica della piattaformaPrezziTecnologia open-sourceProva DatabricksDemoProdottoPanoramica della piattaformaPrezziTecnologia open-sourceProva DatabricksDemoFormazione e supportoDocumentazioneGlossaryFormazione e certificazioneHelp CenterLegaleCommunity onlineFormazione e supportoDocumentazioneGlossaryFormazione e certificazioneHelp CenterLegaleCommunity onlineSoluzioniPer settoreServizi professionaliSoluzioniPer settoreServizi professionaliChi siamoChi siamoLavorare in DatabricksDiversità e inclusioneBlog aziendaleContattiChi siamoChi siamoLavorare in DatabricksDiversità e inclusioneBlog aziendaleContattiPosizioni aperte in DatabricksMondoEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. 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Current job openings at Databricks | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOW OverviewCultureBenefitsDiversityStudents & new gradsCurrent job openings at DatabricksDepartmentLocationProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
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Security and Trust Center - DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWSecurity & Trust CenterYour data security is our priority    OverviewTrustSecurity FeaturesArchitectureCompliancePrivacyReport an IssueSecurity FeaturesWe provide comprehensive security to protect your data and workloads, such as encryption, network controls, data governance and auditing.Customer-Managed KeysGain greater control over the encryption of your data with customer-managed keys on Databricks.Learn morePrivate LinkConnect privately and securely to Databricks from your network with Private Link.Learn moreEnhanced Security and ComplianceTake advantage of the highest standard for Databricks security using Enhanced Security and Compliance.Learn moreExpand all | Collapse all column1column2Network accessCloudUser and group administrationCloudAccess managementCloudData securityCloudData governanceCloudWorkload securityCloudAuditing and loggingCloudSecurity validations (Compliance)Cloud* Azure Databricks is integrated with Azure Active Directory, and Databricks on GCP is integrated with Google Identity. You can’t configure these in Databricks itself, but you can configure Azure Active Directory or Google Identity as needed.Security Best PracticesDatabricks has worked with thousands of customers to securely deploy the Databricks platform, with the security features that meet their architecture requirements. This document provides a checklist of security practices, considerations and patterns that you can apply to your deployment, learned from our enterprise engagements. View document for AWS, Azure and GCPSecurity Analysis ToolSecurity Workspace Analysis Tool (SAT) monitors your workspace hardening by reviewing the deployments against our security best practices. It programmatically verifies workspaces using standard API calls and reports deviations by severity, with links that explain how to improve your security. View our blog for more detail and Github to get started on AWS, Azure and GCP.Databricks Security DocumentationDatabricks includes documentation on how to operate our security features and best practices to help our customers deploy quickly and securely. The documentation is targeted primarily at teams that deploy or use Databricks. Access documentation for AWS, GCP or AzureDatabricks Security and Trust Overview WhitepaperThe Security Overview Whitepaper is designed to provide a summary of all aspects of Databricks for security teams to quickly review. View documentShared Responsibility ModelThe Databricks shared responsibility model outlines the security and compliance obligations of both Databricks and the customer with respect to the data and services on the Databricks platform. View documentProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. 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導入事例 | DatabricksSkip to main contentプラットフォームデータブリックスのレイクハウスプラットフォームDelta Lakeデータガバナンスデータエンジニアリングデータストリーミングデータウェアハウスデータ共有機械学習データサイエンス料金Marketplaceオープンソーステクノロジーセキュリティ&トラストセンターウェビナー 5 月 18 日午前 8 時 PT さようなら、データウェアハウス。こんにちは、レイクハウス。 データレイクハウスが最新のデータスタックにどのように適合するかを理解するために出席してください。 今すぐ登録ソリューション業種別のソリューション金融サービス医療・ライフサイエンス製造通信、メディア・エンターテイメント公共機関小売・消費財全ての業界を見るユースケース別ソリューションソリューションアクセラレータプロフェッショナルサービスデジタルネイティブビジネスデータプラットフォームの移行5月9日 |午前8時(太平洋標準時)   製造業のためのレイクハウスを発見する コーニングが、手作業による検査を最小限に抑え、輸送コストを削減し、顧客満足度を高める重要な意思決定をどのように行っているかをご覧ください。今すぐ登録学習ドキュメントトレーニング・認定デモ関連リソースオンラインコミュニティ大学との連携イベントDATA+AI サミットブログラボBeacons2023年6月26日~29日 直接参加するか、基調講演のライブストリームに参加してくださいご登録導入事例パートナークラウドパートナーAWSAzureGoogle CloudPartner Connect技術・データパートナー技術パートナープログラムデータパートナープログラムBuilt on Databricks Partner ProgramSI コンサルティングパートナーC&SI パートナーパートナーソリューションDatabricks 認定のパートナーソリューションをご利用いただけます。詳しく見る会社情報採用情報経営陣取締役会Databricks ブログニュースルームDatabricks Ventures受賞歴と業界評価ご相談・お問い合わせDatabricks は、ガートナーのマジック・クアドラントで 2 年連続でリーダーに位置付けられています。レポートをダウンロードDatabricks 無料トライアルデモを見るご相談・お問い合わせログインJUNE 26-29REGISTER NOWDatabricks のお客様Databricks のレイクハウスプラットフォームは、あらゆる業界の革新的なお客さまの成功を支えています注目のストーリー 導入事例 日本経済新聞社、パーソナライズド・レコメンデーションにDatabricks Lakehouseを採用 デジタルテクノロジーを駆使するメディアを目指ざす日本経済新聞社は、AI をはじめとするテクノロジーを活用した報道手法やサービスの開発に取り組んでいます。 もっと読む 導入事例 AGC:Databricks レイクハウスの導入でデータ分析基盤を強化 世界トップクラスの総合素材メーカー AGC 株式会社は、ガラス、フッ素樹脂、セラミックス、電子、ライフサイエンスなど、さまざまな領域における新たな価値の創造に挑戦しています。 もっと読む 導入事例 カルビー:Azure Databricks でファンマーケティングを強化 スナックメーカー大手のカルビーは、常に新しい発想で新製品の開発に臨み、日本はもとより世界中で愛される商品を提供しています。カルビーではマーケティング DX を推進しており、その一環として、Azure Databricks を活用したファンマーケティングに注力しています。 もっと読む 導入事例 CCC Marketing Group:Databricks で顧客プロファイリング分析を効率化 CCC マーケティンググループは、Databricks のレイクハウスプラットフォームを導入し、顧客プロファイリングのための高度な分析を加速させると同時に、時間とコストの大幅な削減に成功しています。 もっと読む 導入事例 Aucnet:AI 駆動型価格査定プロセスをレイクハウスで効率化 オークション流通支援サービス大手のオークネット(Aucnet)は、中古車、デジタル機器、医療機器など、さまざまな商品のオンラインオークションサービスを事業者向けに提供しています。 もっと読む 導入事例 リアルなデータ解析と革新的なデジタルマーケティングを加速させる 田辺三菱製薬株式会社では、Databricks の導入により、リアルワールドデータ分析およびデジタルマーケティングの革新を実現しています。 もっと読むすべてのお客様を見るデータチームにパワーをデータチームはちからをあわせて世界中の難題の解決に挑んでいます。詳細はこちら →ご相談・お問い合わせご相談・お問い合わせ関連リソース導入事例Databricks によって、コンデナストがパーソナライズされたコンテンツを顧客に配信する方法をご覧ください。詳しく見る導入事例Apple と Disney+ におけるデータ分析と AI の統合詳しく見る導入事例健康の公平性におけるデータと AI の役割:ヒューマナ(Humana) 社シニア VP 兼最高データ・分析責任者の Slawek Kierner 氏による講演視聴する無料お試し・その他ご相談を承ります無料トライアルご相談・お問い合わせ製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティソリューション業種別プロフェッショナルサービスソリューション業種別プロフェッショナルサービス会社情報会社概要採用情報ダイバーシティ&インクルージョンDatabricks ブログご相談・お問い合わせ会社情報会社概要採用情報ダイバーシティ&インクルージョンDatabricks ブログご相談・お問い合わせ採用情報言語地域English (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.プライバシー通知|利用規約|プライバシー設定|カリフォルニア州のプライバシー権利
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Databricks 기술 파트너 - DatabricksSkip to main content플랫폼Databricks 레이크하우스 플랫폼Delta Lake데이터 거버넌스데이터 엔지니어링데이터 스트리밍데이터 웨어하우징데이터 공유머신 러닝데이터 사이언스가격Marketplace오픈 소스 기술보안 및 신뢰 센터웨비나 5월 18일 / 오전 8시(태평양 표준시) 안녕, 데이터 웨어하우스. 안녕하세요, 레이크하우스입니다. 데이터 레이크하우스가 최신 데이터 스택에 어떻게 부합하는지 이해하려면 참석하십시오. 지금 등록하세요솔루션산업별 솔루션금융 서비스의료 서비스 및 생명 공학제조커뮤니케이션, 미디어 및 엔터테인먼트공공 부문리테일모든 산업 보기사용 사례별 솔루션솔루션 액셀러레이터프로페셔널 서비스디지털 네이티브 비즈니스데이터 플랫폼 마이그레이션5월 9일 | 오전 8시(태평양 표준시)   제조업을 위한 레이크하우스 살펴보기 코닝이 수동 검사를 최소화하고 운송 비용을 절감하며 고객 만족도를 높이는 중요한 결정을 내리는 방법을 들어보십시오.지금 등록하세요학습관련 문서교육 및 인증데모리소스온라인 커뮤니티University Alliance이벤트Data + AI Summit블로그LabsBeacons2023년 6월 26일~29일 직접 참석하거나 키노트 라이브스트림을 시청하세요.지금 등록하기고객파트너클라우드 파트너AWSAzureGoogle CloudPartner Connect기술 및 데이터 파트너기술 파트너 프로그램데이터 파트너 프로그램Built on Databricks Partner Program컨설팅 & SI 파트너C&SI 파트너 프로그램파트너 솔루션클릭 몇 번만으로 검증된 파트너 솔루션과 연결됩니다.자세히회사Databricks 채용Databricks 팀이사회회사 블로그보도 자료Databricks 벤처수상 실적문의처Gartner가 Databricks를 2년 연속 리더로 선정한 이유 알아보기보고서 받기Databricks 이용해 보기데모 보기문의처로그인JUNE 26-29REGISTER NOWDatabricks 기술 파트너Databricks 기술 파트너와 연결하고, 데이터 수집, 비즈니스 인텔리전스, 거버넌스 기능을 Databricks 레이크하우스 플랫폼과 통합하세요.“Databricks와 Fivetran을 사용한 덕분에 앞으로 마케팅 인사이트를 상당히 개선할 수 있게 되었습니다. 기술적 관점에서 이 두 가지 도구는 서로 조화롭게 작동하며, 통합이 매우 자연스럽게 느껴집니다.”— Jan-Niklas Mühlenbrock, Paul Hewitt 비즈니스 인텔리전스 및 ERP 팀 리더Databricks 기술 파트너는 자사 솔루션을 Databricks와 통합하여 ETL, 데이터 수집, 비즈니스 인텔리전스, 머신 러닝과 거버넌스 등에 보완적인 기능을 제공합니다.고객은 이러한 통합을 통해 Databricks 레이크하우스 플랫폼의 안정성과 확장성을 활용하여 귀중한 데이터 인사이트를 얻는 동시에 혁신 속도를 높일 수 있습니다.Partner Connect모든 데이터, 분석 및 AI 도구를 단일한 오픈 플랫폼에 통합하세요. Databricks는 Partner Connect를 통해 검증된 통합 환경에서 기존의 도구를 레이크하우스에 빠르고 쉽게 연결하는 수단을 제공하며, 새로운 솔루션을 발견하고 체험해볼 수 있도록 지원합니다.파트너 되기자세히Loading...제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티솔루션산업 기준프로페셔널 서비스솔루션산업 기준프로페셔널 서비스회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처Databricks 채용 확인하기WorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark 및 Spark 로고는 Apache Software Foundation의 상표입니다.개인 정보 보호 고지|이용약관|귀하의 개인 정보 선택|귀하의 캘리포니아 프라이버시 권리
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Databricks Solution Accelerators - Deliver Data & AI Value Faster - DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWIndustry SolutionsDeliver the data and AI-driven outcomes that matter most — fasterStart your free trialDatabricks Solution AcceleratorsSave hours of discovery, design, development and testing with Databricks Solution Accelerators. Our purpose-built guides — fully functional notebooks and best practices — speed up results across your most common and high-impact use cases. Go from idea to proof of concept (PoC) in as little as two weeks.   Start using Solution Accelerators with your free Databricks trial or your existing account.   Start your free trial todayBrowse AcceleratorssearchHide filtersIndustrySortDatabricksToxicity Detection in GamingfeaturedDatabricksOn-Shelf AvailabilityfeaturedDatabricksFine-Grained Demand Forecastingfeatured🔥DatabricksAutomated PHI RemovalfeaturednewDatabricksAbstracting Real-World Data for OncologyDatabricksAnti-Money LaunderingDatabricksCohort Building with Knowledge GraphsDatabricksComputer Vision FoundationsDatabricksCustomer Entity ResolutionDatabricksCustomer Lifetime Value🔥DatabricksCustomer SegmentationSplunkCyber Analytics (Splunk Connector)DatabricksDetecting Adverse Drug EventsnewDatabricksDigital Pathology Image AnalysisDatabricksDigital TwinsDatabricksESG Performance Analytics🔥DatabricksFHIR Interoperability with dbigniteDatabricksFuzzy Item MatchingDatabricksGenome-Wide Association StudiesDatabricksGeospatial Analytics to Identify FraudDatabricksHL7v2 Interoperability With SmolderDatabricksMedia Mix Modeling (MMM)DatabricksMedicare Risk AdjustmentDatabricksMerchant ClassificationDatabricksModern Investment PlatformDatabricksMulti-Touch AttributionDatabricksOptimized Order PickingDatabricksOverall Equipment EffectivenessDatabricksPredictive Maintenance (IoT)DatabricksPrice TransparencynewDatabricksProduct Quality InspectionDatabricksPropensity ScoringnewDatabricksR&D Optimization with Knowledge GraphsnewDatabricksReal-Time Bidding OptimizationDatabricksReal-Time Financial Fraud PreventionDatabricksReal-Time Point-of-Sale AnalyticsnewDatabricksReal-world EvidenceDatabricksRecommendation EngineDatabricksRegulatory ReportingDatabricksReputation RiskDatabricksRetention ManagementDatabricksRisk ManagementDatabricksSafety StockDatabricksSales Forecasting & Ad Attribution🔥DatabricksScalable Route GenerationDatabricksSocial Determinants of HealthDatabricksSubscriber Churn PredictionDatabricksSupply Chain Distribution OptimizationDatabricksSurvival Analysis & Lifetime ValueDatabricksThreat Detection with DNSDatabricksVideo Quality of ExperienceFAQHow much do Solution Accelerators cost?Solution Accelerators are available to any Databricks customer free of charge.Do I need to be a Databricks customer to use a Solution Accelerator?You can implement Solution Accelerators with a free Databricks trial or with your existing Databricks account.What can I expect from a Solution Accelerator?Solution Accelerators are designed to help you save hours of discovery, design, development and testing. Our goal is to jump-start your data and AI use cases by providing the right resources (notebooks, proven patterns and best practices). You can expect to go from idea to proof of concept (PoC) in as little as two weeks.See how actual customers use DatabricksExplore Customer StoriesProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. 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Dan Houston - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingDan HoustonManager, Data Science and Exploration Advanced Analytics at USPSBack to speakersLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
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Databricks Announces EMEA Expansion, Databricks Infrastructure in the AWS France (Paris) Region - DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWDatabricks Announces EMEA Expansion, Databricks Infrastructure in the AWS France (Paris) RegionMarch 30, 2023Share this postData and AI leader announces new offices, Databricks infrastructure in AWS France (Paris) Region, and initiatives to accelerate lakehouse adoption in 2023 Paris, France - March 30, 2023 - Databricks, the lakehouse company, today announced the opening of Databricks offices in Tel Aviv and Zurich, in addition to expanding its footprint in  London and opening a new office in Munich. The company also announced the coming availability of Databricks infrastructure in the AWS France (Paris) Region in the first half of 2023. The state-of-the-art AWS-based Databricks infrastructure in France will support the growing customer base and demand for the Databricks Lakehouse. These investments will further Databricks’ commitment to EMEA, its open, multi-cloud strategy, and accelerate lakehouse adoption.  Databricks Opens Offices in Munich, Tel Aviv and Zurich; Expands in London Databricks today announced continued expansion in EMEA with the opening of new offices: Tel Aviv and Zurich, as well as expanding its existing office space in London and opening a new office for Munich. Databricks’ office in Stockholm will open in the first half of 2023. The Databricks EMEA team grew 75% in the last fiscal year and the business expects to surpass 1,000 employees in the region in the coming months. “Investing in our team and offices, and launching Databricks infrastructure in France are initiatives that play critical roles in helping even more AWS customers realize the massive potential of the Databricks Lakehouse,” said Samuel Bonamigo, SVP & GM, EMEA, Databricks. “With these strategic investments, we will not only attract diverse, world-class talent, but we will also continue to ‘be where our customers are’ to support them with rapidly evolving business challenges, all in accordance with local regulations.” Plan to Launch Infrastructure in the AWS France (Paris) Region First Half of 2023 The launch of Databricks infrastructure in the AWS France (Paris) Region will support the most innovative, forward-looking French organizations, as they leverage AWS Databricks to transform their businesses with data-driven applications and use cases, whilst ensuring minimal latency.  “We are thrilled to deepen our partnership with AWS in France and ensure our customers have the best possible experience whilst adopting the Databricks Lakehouse Platform,” said Stan Hutten Czapski, Senior Cloud Director, EMEA, Databricks. “Launching Databricks infrastructure in France is a crucial step in our AWS partnership for 2023 and beyond.” Innovative EMEA Customers Continue to Adopt the Lakehouse Platform; New Digital Native and Startup Practice Databricks’ EMEA launches come on the heels of continued success of the organization. Databricks works with over 9,000 customers to unify their data, analytics and AI. EMEA helps major French and European-headquartered brands such as Rolls-Royce, Shell, Marks & Spencer, SNCF and TotalEnergies solve some of the world’s toughest problems with data and AI.  “We are seeing massive acceleration and adoption of the Databricks Lakehouse Platform in France because we’re helping French companies handle all their data, analytics and AI use cases in one simple platform — the Lakehouse, which is a category we pioneered,” said Guillaume Brandenburg, RVP SEMEA, Databricks. “A lakehouse architecture is the ideal data architecture for data-driven organizations like SNCF and TotalEnergies. It combines the best of data warehouses and data lakes to provide a single solution for all major data workloads and supports a range of data and AI use cases for our customers in France and beyond.” Databricks also announced a new dedicated EMEA team to drive innovation for digital natives and start-up communities. Called the Velocity practice, this team of specialists will drive growth in fast paced accounts and with digital natives such as Gousto. “We have the opportunity to drive significant value for digital native customers who are born in the cloud, move quickly, and require massive scale for their data and AI use cases. I’m excited to see what our Velocity team can achieve in the coming year, and what more we can do to drive Databricks Lakehouse adoption with customers of all sizes across multiple countries, all with a growing and highly-skilled team,” concluded Bonamigo.   About Databricks Databricks is the lakehouse company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Contact: [email protected]  Recent Press ReleasesMay 5, 2023Databricks plans to increase local headcount in India by more than 50% to support business growth and drive customer success; launching new R&D hub in 2023 Read nowApril 4, 2023Databricks Announces Lakehouse for Manufacturing, Empowering the World’s Leading Manufacturers to Realize the Full Value of Their DataRead nowMarch 30, 2023Databricks Announces EMEA Expansion, Databricks Infrastructure in the AWS France (Paris) RegionRead nowMarch 7, 2023Databricks Launches Simplified Real-Time Machine Learning for the LakehouseRead nowJanuary 17, 2023Databricks Strengthens Commitment in Korea, Appointing Jungwook Jang as Country ManagerRead nowView AllResourcesContactFor press inquires:[email protected]Stay connectedStay up to date and connect with us through our newsletter, social media channels and blog RSS feed.Subscribe to the newsletterGet assetsIf you would like to use Databricks materials, please contact [email protected] and provide the following information:Your name and titleCompany name and location Description of requestView brand guidelinesProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. 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Shawn Benjamin - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingShawn BenjaminData and Business Intelligence Chief at U.S. Department of Homeland Security - USCISBack to speakersLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
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데이터 사이언스 | DatabricksSkip to main content플랫폼Databricks 레이크하우스 플랫폼Delta Lake데이터 거버넌스데이터 엔지니어링데이터 스트리밍데이터 웨어하우징데이터 공유머신 러닝데이터 사이언스가격Marketplace오픈 소스 기술보안 및 신뢰 센터웨비나 5월 18일 / 오전 8시(태평양 표준시) 안녕, 데이터 웨어하우스. 안녕하세요, 레이크하우스입니다. 데이터 레이크하우스가 최신 데이터 스택에 어떻게 부합하는지 이해하려면 참석하십시오. 지금 등록하세요솔루션산업별 솔루션금융 서비스의료 서비스 및 생명 공학제조커뮤니케이션, 미디어 및 엔터테인먼트공공 부문리테일모든 산업 보기사용 사례별 솔루션솔루션 액셀러레이터프로페셔널 서비스디지털 네이티브 비즈니스데이터 플랫폼 마이그레이션5월 9일 | 오전 8시(태평양 표준시)   제조업을 위한 레이크하우스 살펴보기 코닝이 수동 검사를 최소화하고 운송 비용을 절감하며 고객 만족도를 높이는 중요한 결정을 내리는 방법을 들어보십시오.지금 등록하세요학습관련 문서교육 및 인증데모리소스온라인 커뮤니티University Alliance이벤트Data + AI Summit블로그LabsBeacons2023년 6월 26일~29일 직접 참석하거나 키노트 라이브스트림을 시청하세요.지금 등록하기고객파트너클라우드 파트너AWSAzureGoogle CloudPartner Connect기술 및 데이터 파트너기술 파트너 프로그램데이터 파트너 프로그램Built on Databricks Partner Program컨설팅 & SI 파트너C&SI 파트너 프로그램파트너 솔루션클릭 몇 번만으로 검증된 파트너 솔루션과 연결됩니다.자세히회사Databricks 채용Databricks 팀이사회회사 블로그보도 자료Databricks 벤처수상 실적문의처Gartner가 Databricks를 2년 연속 리더로 선정한 이유 알아보기보고서 받기Databricks 이용해 보기데모 보기문의처로그인JUNE 26-29REGISTER NOW데이터 사이언스대규모 협업형 데이터 사이언스무료 시험판사용해 보기데모 예약Databricks의 데이터 과학에 대해 자세히 알아보기Databricks NotebooksIDE IntegrationsRepos머신 러닝오픈 레이크하우스 토대를 기반으로 빌드해 협업에 유리한 통합형 데이터 사이언스 환경을 이용해 데이터 준비부터 모델링, 나아가 인사이트 공유에 이르기까지 포괄적인 데이터 사이언스 워크플로를 간소화할 수 있습니다. 정리되고 안정적인 데이터, 미리 구성한 컴퓨팅 리소스, IDE 통합, 다국어 지원 및 기본 제공되는 고급 시각화 도구에 신속하게 액세스하여 데이터 분석 팀의 유연성을 최대한 보장합니다.데이터 사이언스 워크플로 전체에 걸친 협업Python, R, Scala 및 SQL로 코드를 작성하고, 대화형 시각화를 활용해 데이터를 탐색하며 Databricks Notebooks로 새로운 인사이트를 발견해보세요. 공동 작성, 메모 작성, 자동 버전 관리, Git 통합과 역할 기반 액세스 제어 등이 제공되므로 신뢰를 기반으로 안전하게 코드를 공유할 수 있습니다.인프라가 아닌 데이터 사이언스 중심이제는 노트북 컴퓨터의 데이터 용량에 제한을 받거나, 이용할 수 있는 컴퓨팅 파워로 행동 범위를 한정 짓지 않아도 됩니다. 로컬 환경을 클라우드에 신속하게 마이그레이션하고, 노트북을 개인용 컴퓨팅, 자동 관리형 클러스터에 연결하세요.익숙한 로컬 IDE환경을 확장 가능한 컴퓨팅 환경에서도 그대로 활용하세요.IDE 선택은 매우 개인적이며 생산성에 중대한 영향을 미칩니다.즐겨 사용하는 IDE를 Databricks에 연결하여 무한한 데이터 스토리지와 컴퓨팅이 제공하는 이점을 그대로 누리세요. 아니면 Databricks 내에서 RStudio나 JupyterLab을 직접 이용해도 원활한 환경을 보장받을 수 있습니다.데이터 사이언스에 적합하게 데이터 준비하기배치, 스트리밍, 구조적 또는 비구조적 데이터 등 종류를 불문하고 모든 데이터를 Delta Lake 내 한 곳에 정리하고 카탈로그화하여 중앙집중형 데이터 스토어를 통해 기업 조직 내 어디에서나 검색 가능하게 할 수 있습니다. 데이터가 유입되면 자동 품질 검사를 실시해 데이터가 기대치에 부합하고 분석할 준비를 마쳤는지 확인합니다. 새로운 데이터와 추가적인 변환으로 인해 데이터가 발전함에 따라 데이터 버전 관리를 통해 규정 준수 요구 사항에 부합하도록 합니다.로우코드, 시각적 도구로 데이터 탐색Databricks 노트북 내에 기본 제공되는 네이티브 시각 도구를 사용해 데이터를 준비, 변환, 분석하면 전문지식 수준이 각기 다른 팀원이 모두 간편하게 데이터를 다룰 수 있습니다. 데이터 변환과 시각화를 마치면 배경에서 실행되는 코드를 생성할 수 있으므로, 상용구 코드를 작성하는 데 허비하던 시간을 이제 다른 고부가가치 업무에 할애할 수 있게 됩니다.새로운 인사이트 발견 및 공유분석을 동적 대시보드로 간단하게 바꾸어 결과를 간편하게 공유하고 내보낼 수 있습니다. 대시보드는 항상 최신 상태로 유지되며 대화형 쿼리도 실행합니다. 역할 기반 액세스 관리를 통해 셀, 시각화나 노트북을 공유할 수도 있고 HTML와 IPython Notebook을 비롯한 여러 가지 형식으로 내보낼 수도 있습니다.Databricks로 마이그레이션데이터 사일로, 느린 성능, Hadoop이나 엔터프라이즈 데이터 웨어하우스에서 발생하는 높은 비용에 지치셨나요? 모든 데이터, 분석 및 AI 사용 사례를 위한 현대적 플랫폼, Databricks 레이크하우스로 마이그레이션하세요.Databricks로 마이그레이션리소스 여러분에게 필요한 모든 리소스가 한 곳에 있습니다. 리소스 라이브러리에서 데이터 사이언스와 머신 러닝 주제에 대한 ebook과 동영상을 찾아보세요. 리소스 둘러보기보고서 및 eBook데이터 사이언스 Big Book대규모 협업 데이터 과학의 기술최신 클라우드 데이터 플랫폼MLflow - 오픈 소스 머신 러닝 플랫폼새로운 Delta Sharing 솔루션 알아보기Databricks, 2021 Gartner® Magic Quadrant™ DBMS와 DSML 부문모두 리더로 선정마이그레이션 가이드: 하둡에서 Databricks로 마이그레이션블로그하둡에서 레이크하우스 아키텍처로 마이그레이션하기 위한 5가지 단계가상 이벤트하둡 마이그레이션 단계별 가이드시작할 준비가 되셨나요?Databricks 무료로 시작하기제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티솔루션산업 기준프로페셔널 서비스솔루션산업 기준프로페셔널 서비스회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처Databricks 채용 확인하기WorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark 및 Spark 로고는 Apache Software Foundation의 상표입니다.개인 정보 보호 고지|이용약관|귀하의 개인 정보 선택|귀하의 캘리포니아 프라이버시 권리
https://www.databricks.com/p/ebook/esg-analytics-ai
Taking ESG From Buzzword to Reality With Data Analytics and AI | DatabrickseBookTaking ESG From Buzzword to Reality With Data Analytics and AIUnlike with financial statements, there are no generally accepted principles for how ESG metrics are disclosed by companies. As a result, it has become nearly impossible today for investors, partners and the public to independently measure and verify how companies are progressing toward their sustainability goals at scale.This eBook walks you through how data analytics and AI can help organizations process vast amounts of ESG data — often unstructured data — to make smarter investment decisions.Download the eBook to:Understand how to apply advanced analytics to ESG dataLearn about preparing ESG data for insights at scaleSee how Databricks enables a data-driven approach to ESG for sustainabilityGet the eBookProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/glossary/what-are-spark-applications
What are Spark Applications?PlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWSpark ApplicationsAll>Spark ApplicationsTry Databricks for freeGet StartedSpark Applications consist of a driver process and a set of executor processes. The driver process runs your main() function, sits on a node in the cluster, and is responsible for three things: maintaining information about the Spark Application; responding to a user’s program or input; and analyzing, distributing, and scheduling work across the executors (defined momentarily). The driver process is absolutely essential - it’s the heart of a Spark Application and maintains all relevant information during the lifetime of the application. The executors are responsible for actually executing the work that the driver assigns them. This means, each executor is responsible for only two things: executing code assigned to it by the driver and reporting the state of the computation, on that executor, back to the driver node. The cluster manager controls physical machines and allocates resources to Spark Applications. This can be one of several core cluster managers: Spark’s standalone cluster manager, YARN, or Mesos. This means that there can be multiple Spark Applications running on a cluster at the same time. We will talk more in depth about cluster managers in Part IV: Production Applications of this book. In the previous illustration we see on the left, our driver and on the right the four executors on the right. In this diagram, we removed the concept of cluster nodes. The user can specify how many executors should fall on each node through configurations. [glossary-cta]Additional Resources8 Steps for a Developer to Learn Apache Spark with Delta Lake eBookThe Data Engineer's Guide to Apache Spark and Delta Lake eBookComparing Apache Spark and DatabricksBack to GlossaryProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/dataaisummit/speaker/chris-inkpen
Chris Inkpen - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingChris InkpenSolutions architect at HoneywellBack to speakersChris Inkpen has written software now since 1987. He has a PhD in Knowledge modeling from Brighton University in the UK. He is currently working within Honeywell Building Technologies as a technical evangelist and data engineer specialist helping the scrum teams design and develop solutions using the most appropriate technological solutions.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/br/legal
Master Cloud Services Agreement | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWLegalTermsDatabricks Master Cloud Services AgreementAdvisory ServicesTraining ServicesUS Public Sector ServicesExternal User TermsWebsite Terms of UseCommunity Edition Terms of ServiceAcceptable Use PolicyPrivacyPrivacy NoticeCookie NoticeApplicant Privacy NoticeDatabricks SubprocessorsPrivacy FAQsDatabricks Data Processing AddendumAmendment to Data Processing AddendumSecurityDatabricks SecuritySecurity AddendumLegal Compliance and EthicsLegal Compliance & EthicsCode of ConductThird Party Code of ConductModern Slavery StatementFrance Pay Equity ReportSubscribe to UpdatesMaster Cloud Services AgreementThis Master Cloud Services Agreement (the “MCSA”) is entered into as of the Effective Date between Databricks, Inc. (“Databricks” or “we”) and Customer (as defined below) and governs Customer’s use of the Databricks Services, including the right to access and use the Databricks data processing platform services (the “Platform Services”), on each cloud service where Databricks directly provides customers with access to such Platform Services. For the avoidance of doubt, this Agreement does not govern the use of Databricks Powered Services. Unless otherwise indicated, capitalized terms have the meaning assigned to them in this MCSA or in an incorporated Schedule.If you are entering into this MCSA on behalf of a company (such as your employer) or other legal entity, you represent and warrant that You are authorized to bind that entity to this MCSA, in which case “Customer,” “you,” or “your” will refer to that entity (otherwise, such terms refer to you as an individual). If you do not have authority to bind Your entity or do not agree with any provision of this MCSA, you must not accept this MCSA and may not use the Databricks Services.By accepting this MCSA, either by executing this MCSA, an Order, or another agreement that explicitly incorporates this MCSA by reference, Customer enters into the MCSA and the following Schedules, each of which are incorporated into the MCSA and apply to the provision of the applicable Databricks Services upon your ordering such service:Advisory ServicesTraining ServicesU.S. Public Sector ServicesYour Order may include one or more of the following: (a) the Platform Services, (b) support services (“Support Services“), (c) training services (“Training Services“), or (d) advisory services (“Advisory Services,” and together with any other services provided by Databricks, (a), (b), (c), and (d) shall be defined as the “Databricks Services”). You acknowledge that no term in any Order entered into via a reseller will be deemed to modify the Agreement unless pre-authorized in writing by Databricks. Definitions. Defined terms are set out below. Capitalized terms used but not defined in a Schedule or an Order will have the meaning assigned to them, if any, within this MCSA.  “Acceptable Use Policy” means the acceptable use policy governing the Platform Services located at databricks.com/legal/aup.“Affiliate” of a party means an entity that controls, is actually or in effect controlled by, or is under common control with such party.“Agreement” means this MCSA, the referenced Schedules, and any accompanying or future Order you enter into under this MCSA.“Authorized User” means employees or agents of Customer or its Affiliates selected by Customer to access and use the Platform Services.“Beta Service” means any feature of the  Databricks Services ( that is clearly designated as “beta”, “experimental”, “preview” or similar, that is provided prior to general commercial release, and that Databricks at its sole discretion offers to Customer, and Customer at its sole discretion elects to use."Cloud Environment” means a cloud or other compute or storage infrastructure controlled by a party or by an external user (as may be defined where appropriate by schedule or amendment hereto) according to context and utilized under the Agreement.“Cloud Service Provider” means a cloud service provider on whose platform Databricks directly provides the Platform Services. For clarity, the Databricks Powered Services are not directly provided by Databricks and are not considered Platform Services under this Agreement.“Customer Content” means all data input into or made available by Customer for processing within the Platform Services or Support Services or generated from the Platform or Support Services.“Customer Data” means the data, other than Customer Instructional Input, made available by Customer and its Authorized Users for processing within the Platform Services or Support Services. “Customer Instructional Input” means information other than Customer Data that Customer inputs into the Platform Services to direct how the Platform Services process Customer Data, including without limitation the code and any libraries (including third party libraries) Customer utilizes within the Platform Services.“Customer Results” means any output Customer or its Authorized Users generate from their use of the Platform Services."Databricks Global Code of Conduct” means the Databricks Global Code of Conduct located at  databricks.com/global-code-of-conduct.“Databricks Powered Service” means any third-party software or service powered by Databricks, including those at https://www.databricks.com/legal/cloud-provider-directory, that is provided to you under contractual terms between you and a third-party.  This Agreement does not amend any term of such contract; the Databricks Powered Services are not considered Databricks Services (and, for the avoidance of doubt, are not considered Platform Services) under the Agreement and Databricks shall have no liability to you relating to your use of the Databricks Powered Services.“Documentation” means the documentation related to the Platform Services located at databricks.com/documentation.“DPA” means the  Data Processing Addendum located at databricks.com/legal/dpa.“Effective Date” means the earliest of: the effective date of the initial Order that references this MCSA, the date of last signature of the MCSA, or the date you first access or use any Databricks Services.“Fees” means all amounts payable for Databricks Services.“HIPAA” means the Health Insurance Portability and Accountability Act of 1996, as amended and supplemented from time to time.“Intellectual Property Rights” means all worldwide intellectual property rights available under applicable laws including without limitation rights with respect to patents, copyrights, moral rights, trademarks, trade secrets, know-how, and databases.“Order” means an order form (“Order Form”), online order (including the provisioning of any Databricks Services) or similar agreement for the provision of Databricks Services, entered into by the parties or any of their Affiliates, incorporated by reference into, and governed by, the Agreement. By entering into an Order Form hereunder, an Affiliate agrees to be bound by the terms of this Agreement as if it were an original party hereto.“PCI-DSS” means the Payment Card Industry Data Security Standard.“PHI” means health information regulated by HIPAA or by any similar privacy law governing the use of or access to health information.“Security Addendum” means the Platform Security Addendum located at databricks.com/legal/security-addendum.“Schedule” means any of the schedules referenced herein or otherwise set forth in an Order.“Shared Data” means  (i) Customer Content that you electto share with third parties or  (ii) data you elect to receive from third parties, under an applicable configuration of the Platform Services.“Support Policy” means the available Support Services plans located at databricks.com/support.“System” means any application, computing or storage device, or network.“Usage Data” means usage data and telemetry collected by Databricks relating to Customer's use of the Platform Services. Usage Data may contain queries entered by an Authorized User but not the results of those queries.“Workspace” means a Platform Services environment.Confidentiality.Confidential Information. “Confidential Information” means any business or technical information disclosed by either party to the other that is designated as confidential at the time of disclosure or that, under the circumstances, a person exercising reasonable business judgment would understand to be confidential or proprietary. Without limiting the foregoing, all non-public elements of the Databricks Services are Databricks’ Confidential Information, Customer Content is Customer’s Confidential Information, and the terms of the Agreement and any information that either party conveys to the other party concerning data security measures, incidents, or findings constitute Confidential Information of both parties. Confidential Information will not include information that the receiving party can demonstrate (a) is or becomes publicly known through no fault of the receiving party, (b) is, when it is supplied, already known to whoever it is disclosed to in circumstances in which they are not prevented from disclosing it to others, (c) is independently obtained by whoever it is disclosed to in circumstances in which they are not prevented from disclosing it to others or (d) was independently developed by the receiving party without use of or reference to the Confidential Information.Confidentiality. A receiving party will not use the disclosing party’s Confidential Information except as permitted under the Agreement or to enforce its rights under the Agreement and will not disclose such Confidential Information to any third party except to those of its employees and/or subcontractors who have a bona fide need to know such Confidential Information for the performance or enforcement of the Agreement; provided that each such employee and/or subcontractor is bound by a written agreement that contains use and disclosure restrictions consistent with the terms set forth in this Section 2.2. Each receiving party will protect the disclosing party’s Confidential Information from unauthorized use and disclosure using efforts equivalent to those that the receiving party ordinarily uses with respect to its own Confidential Information of similar nature and in no event using less than a reasonable standard of care; provided, however, that a party may disclose such Confidential Information as required by applicable laws, subject to the party required to make such disclosure giving reasonable notice to the other party to enable it to contest such order or requirement or limit the scope of such request. The provisions of this Section 2.2 will supersede any non-disclosure agreement by and between the parties (whether entered into before, on or after the Effective Date) that would purport to address the confidentiality and security of Customer Content and such agreement will have no further force or effect with respect to Customer Content.Equitable Relief. Each party acknowledges and agrees that the other party may be irreparably harmed in the event that such party breaches Section 2.2 (Confidentiality), and that monetary damages alone cannot fully compensate the non-breaching party for such harm. Accordingly, each party hereto hereby agrees that the non-breaching party will be entitled to seek injunctive relief to prevent or stop such breach, and to obtain specific enforcement thereof. Any such equitable remedies obtained will be in addition to, and not foreclose, any other remedies that may be available.Intellectual Property. Ownership of the Databricks Services. Except for the limited licenses expressly set forth in the Agreement, Databricks retains all Intellectual Property Rights and all other proprietary rights related to the Databricks Services. You will not delete or alter the copyright, trademark, or other proprietary rights notices or markings appearing within the Databricks Services as delivered to you. You agree that the Databricks Services are provided on a non-exclusive basis and that no transfer of ownership of Intellectual Property Rights will occur. You further acknowledge and agree that portions of the Databricks Services, including but not limited to the source code and the specific design and structure of individual modules or programs, constitute or contain trade secrets and other Intellectual Property Rights of Databricks and its licensors.Ownership of Customer Content. As between you and Databricks, you retain all ownership or license rights in Customer Content.Usage Data. Notwithstanding anything to the contrary in the Agreement, Databricks may collect and use Usage Data to develop, improve, operate, and support its products and services. Databricks will not share any Usage Data that includes Customer Confidential Information except either (a) to the extent that such Usage Data is anonymized and aggregated such that it does not identify Customer or Customer Confidential Information; or (b) in accordance with Section 2 (Confidentiality) of this Agreement.Feedback. You are under no duty to provide any suggestions, enhancement requests, or other feedback regarding the Databricks Services (“Feedback”). If you choose to offer Feedback to Databricks, you hereby grant Databricks a perpetual, irrevocable, non-exclusive, worldwide, fully-paid, sub-licensable, assignable license to incorporate into the Databricks Services or otherwise use any Feedback Databricks receives from you solely to improve Databricks products and services, provided that such Feedback is used in a manner that is not attributable to you. You also irrevocably waive in favor of Databricks any moral rights which you may have in such Feedback pursuant to applicable copyright law. Databricks acknowledges that any Feedback is provided on an “as-is” basis with no warranties of any kind.Use of the Platform Services. Access. Databricks will make the Platform Services available to Customer and its Authorized Users in accordance with the terms and conditions of this Agreement, the Documentation, and an applicable Order.Databricks Responsibilities. Services. Databricks is responsible for (a) the operation of the Databricks Cloud Environment; and (b) the Databricks software used to operate the computing resources. Security Measures. Databricks shall implement reasonable administrative, physical, and technical safeguards to protect the security of the Platform Services and the Customer Content as set forth in the Security Addendum (“Security Measures”); and shall, without limiting the foregoing, maintain certification to ISO/IEC 27001:2013 or equivalent/greater standards during the term of this Agreement. Additionally, while it is your responsibility to back up Customer Content, Databricks will, at your reasonable request, provide commercially reasonable assistance with recovery efforts. While Databricks may update the Security Measures, it shall not materially diminish the effectiveness of the Security Measures.Customer Responsibilities. General Responsibilities.  You acknowledge and agree that you are responsible for: ensuring that each Authorized User has their own credentials, protecting those credentials, and not permitting any sharing of credentials;securing any Customer Cloud Environment, and any Customer System;backing up Customer Content; configuring the Platform Services in an appropriate way taking into account the sensitivity of the Customer Content that you choose to process using the Platform Services, including Shared Data; using commercially reasonable efforts to ensure that your Authorized Users review the portions of Documentation relevant to your use of the Platform Services and any security information published by Databricks and referenced therein that is designed to assist you in securing Customer Content;risks associated with all use of the Platform Services by an Authorized User under an Authorized User’s account (including for the payment of Fees related to such use), whether such action was taken by an Authorized User or by another party, and whether or not such action was authorized by an Authorized User, provided that such action was not (1) taken by Databricks or by a party acting under the direction of Databricks, or (2) an action by a third party that Databricks should reasonably have prevented. Use Limits. You will not, and will not permit your Authorized Users to: violate the Acceptable Use Policy or use the Platform Services other than in accordance with the Documentation;copy, modify, disassemble, decompile, reverse engineer, or attempt to view or discover the source code of the Platform Services, in whole or in part, or permit or authorize a third party to do so, except to the extent such activities are expressly permitted by the Agreement or by law notwithstanding this prohibition;sell, resell, license, sublicense, distribute, rent, lease, or otherwise provide access to the Platform Services to any third party except to the extent explicitly authorized in writing by Databricks;use the Platform Services to develop or offer a service made available to any third party that could reasonably be seen to serve as a substitute for such third party’s possible purchase of any Databricks product or service;transfer or assign any of your rights hereunder except as permitted under Section 12.5  (Assignment); orduring any free trial period granted by Databricks, including during the use of any Beta Service, use the Databricks Services for any purpose other than to evaluate whether to purchase the Databricks Services.Shared Responsibilities. Customer acknowledges that the Platform Services may be implemented in a manner that divides the Platform Services between the Customer Cloud Environment and the Databricks Cloud Environment, and that accordingly each party must undertake certain technical and organizational measures in order to protect the Platform Services and the Customer Content.  Permitted Benchmarking. You may perform benchmarks or comparative tests or evaluations (each, a “Benchmark”) of the Platform Services and may disclose the results of the Benchmark other than for Beta Services. If you perform or disclose, or direct or permit any third party to perform or disclose, any Benchmark of any of the Platform Services, you (i) will include in any disclosure, and will disclose to us, all information necessary to replicate such Benchmark, and (ii) agree that we may perform and disclose the results of Benchmarks of your products or services, irrespective of any restrictions on Benchmarks in the terms governing your products or services.Customer Content.Limits on What Customer Content May Contain. You agree that you will not include in Customer Content, or generate any Customer Results that include, any data for which you do not have all rights, power and authority necessary for its collection, use and processing as contemplated by the Agreement.PHI Data. You shall not include in Customer Content any PHI unless (a) you have entered into an Order permitting you to process PHI, and then only with respect to the Workspace(s) or account (if applicable) (together the “PHI Permitted Workspaces”) identified on such Order; and (b) you have entered into a Business Associate Agreement (“BAA”) with Databricks. If you have not entered into a BAA with Databricks or if you provide PHI to Databricks other than through the PHI Permitted Workspaces, Databricks will have no liability under the Agreement relating to PHI notwithstanding anything in the Agreement or in HIPAA or any similar laws to the contrary.Cardholder Data. You shall not include in Customer Content any cardholder data as defined under PCI-DSS (“Cardholder Data”) unless (1) you are processing the Cardholder Data in a PCI Permitted Workspace and configure and operate such Workspace in accordance with the Documentation; and (2) you have entered into an Order that (a) specifies Databricks then-current certification status under PCI-DSS; and (b) explicitly permits you to process Cardholder Data within the Platform Services (including specifying the types and quantities of such data) and then only with respect to the Workspace(s) identified in such Order (the “PCI Permitted Workspaces”). Databricks will have no liability under the Agreement relating to Cardholder Data that is not processed in accordance with the terms of this section notwithstanding anything in the Agreement or in PCI-DSS or any similar regulations to the contrary.Architectures and Services Updates. Databricks provides the Platform Services according to different architectural models (e.g. models where computing resources are deployed into Customer Cloud Environment and models where computing resources are deployed into Databricks Cloud Environments) depending on the specific feature being used by Customer, as further described in the Documentation. Accordingly, Customer acknowledges and agrees that different portions of the Platform Services are and may in the future be subject to changes reflected in the Documentation or terms and conditions that provide for different rights and responsibilities of the parties for their use.  Databricks Container ServicesAs part of Databricks Container Services, Databricks may provide a sample stub container file (a “Sample Container”) that you may use to create a custom container file (a “Modified Sample Container”). Databricks grants you a limited, non-exclusive right and license to use and modify the Sample Container to create a Modified Sample Container to use with Databricks Container Services. The Sample Container may contain libraries that are subject to open source licenses. It is your obligation to review and comply with any such licenses prior to your creation of the Modified Sample Container.You may not: include in a Custom Container any code: (i) for which you do not have the necessary right or license; or (ii) that contains any code that could subject Databricks to any condition that Databricks make any of its source code available or which may impose any other obligation or restriction with respect to Databricks’ Intellectual Property Rights; orattempt to disable or interfere with any technical limitations contained within Databricks Container Services.You grant Databricks a worldwide, non-exclusive royalty free right and license to use, reproduce and make derivative works of the Custom Container solely as necessary to provide Databricks Container Services to Customer.Data Protection. Except with respect to a free trial, the terms of the DPA are hereby incorporated by reference and shall apply to the processing of personal data as described in the DPA.Suspension and Termination of Platform Services. Suspension. Databricks may temporarily suspend any or all Workspaces at any time: (i) immediately without notice if Databricks reasonably suspects that you have violated your obligations under Section 4.3 (Customer Responsibilities), Section 4.6 (Customer Content), or Section 11 (Compliance with Laws) in a manner that may cause material harm or material risk of harm to Databricks or to any other party; (ii) or if you (or any third party responsible for making payment on your behalf) fail to pay undisputed Fees after receiving notice that you are delinquent in payment.Termination; Workspace Cancellation. Databricks may terminate your use of the Platform Services and any Workspaces and any applicable Order for material breach, including without limitation your breach of Section 4.10(a), that in each case is either not cured within thirty (30) days of notice of such breach or that by its nature is incapable of cure. If the Agreement or any applicable Order is terminated for any reason or upon your written request, Databricks may cancel your Workspaces. Upon termination of the Agreement for any reason you will delete all stored elements of the Platform Services from your Systems.Deletion of Customer Content upon Workspace Cancellation. Databricks will automatically delete all Customer Content contained within a Workspace within thirty (30) days following the cancellation of such Workspace. Monthly Pay-As-You-Go (PAYG) Services. Notwithstanding anything in the Agreement to the contrary, Databricks may suspend or terminate any Platform Services provided on a month-to-month basis with payment based only on Customer’s usage of the Platform Services during the billing month and delete any Customer Content relating to such Workspace that may be stored within the Platform Services or other Databricks’ Systems, upon thirty (30) days’ prior written notice (email sufficient) if Databricks reasonably determines the account is inactive as set forth in the Acceptable Use Policy.Notice. Notwithstanding Section 12.6 (Notice), notice under this Section 4.10 (Suspension; Termination) may be provided by email sent to a person the party providing notice reasonably believes to have responsibility for the other party’s activities under the Agreement.Support Services. Databricks will provide you with the level of Support Services specified in an Order in accordance with the Support Policy. If Support Services are not specified in an Order, your support shall be limited to public Documentation and forums.Warranties; Remedy.Warranties. Each party warrants that it is validly entering into the Agreement and has the legal authority to do so.  In addition to the warranties provided by the parties as set forth in any applicable Schedule, Databricks warrants that, during the term of any Order for Platform Services: (a) the Platform Services will function substantially in accordance with the Documentation; and (b) Databricks will employ commercially reasonable efforts in accordance with industry standards to prevent the transmission of malware or malicious code via the Platform Services.Disclaimer. THE WARRANTIES PROVIDED BY DATABRICKS IN SECTION 6.1 (WARRANTIES) ARE EXCLUSIVE AND IN LIEU OF ALL OTHER WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, REGARDING DATABRICKS AND DATABRICKS’ SERVICES PROVIDED HEREUNDER. DATABRICKS AND ITS LICENSORS SPECIFICALLY DISCLAIM ALL IMPLIED WARRANTIES, CONDITIONS AND OTHER TERMS, INCLUDING, WITHOUT LIMITATION, IMPLIED WARRANTIES OF MERCHANTABILITY, SATISFACTORY QUALITY OR FITNESS FOR A PARTICULAR PURPOSE. NOTWITHSTANDING ANYTHING TO THE CONTRARY HEREIN: (a) ANY SERVICES PROVIDED UNDER ANY FREE TRIAL PERIOD ARE PROVIDED “AS-IS” AND WITHOUT WARRANTY OF ANY KIND; (b) WITHOUT LIMITATION, DATABRICKS DOES NOT MAKE ANY WARRANTY OF ACCURACY, COMPLETENESS, TIMELINESS, OR UNINTERRUPTABILITY, OF THE PLATFORM SERVICES; (c), DATABRICKS IS NOT RESPONSIBLE FOR RESULTS OBTAINED FROM THE USE OF THE DATABRICKS SERVICES OR FOR CONCLUSIONS DRAWN FROM SUCH USE; AND (d) EXCEPT AS OTHERWISE STATED IN SECTION 4 (USE OF THE PLATFORM SERVICES), DATABRICKS’ REASONABLE EFFORTS TO RESTORE LOST OR CORRUPTED CUSTOMER INSTRUCTIONAL INPUT DESCRIBED THEREIN SHALL BE DATABRICKS’ SOLE LIABILITY AND YOUR SOLE AND EXCLUSIVE REMEDY IN THE EVENT OF ANY LOSS OR CORRUPTION OF CUSTOMER CONTENT IN CONNECTION WITH THE DATABRICKS SERVICES.Platform Services Warranty Remedy. FOR ANY BREACH OF THE WARRANTIES RELATED TO THE PLATFORM SERVICES PROVIDED BY DATABRICKS IN SECTION 6.1 (WARRANTIES), YOUR EXCLUSIVE REMEDY AND DATABRICKS’ ENTIRE LIABILITY WILL BE THE MATERIAL CORRECTION OF THE DEFICIENT SERVICES THAT CAUSED THE BREACH OF WARRANTY, OR, IF WE CANNOT SUBSTANTIALLY CORRECT THE DEFICIENCY IN A COMMERCIALLY REASONABLE MANNER, DATABRICKS WILL END THE DEFICIENT SERVICES AND REFUND TO YOU THE PORTION OF ANY PREPAID FEES PAID BY YOU TO DATABRICKS APPLICABLE TO THE PERIOD FOLLOWING THE EFFECTIVE DATE OF TERMINATION.Indemnification.  Indemnification by Databricks. Subject to Section 7.5 (Conditions of Indemnification), Databricks will defend Customer against any claim, demand, suit or proceeding made or brought against Customer by a third party (a “Claim Against Customer”)alleging that the Databricks Services as provided to Customer by Databricks or Customer’s use of the Databricks Services in accordance with the Documentation and the Agreement infringes or misappropriates such party’s Intellectual Property Rights (an “IP Claim”), and will indemnify Customer from and against any damages, attorney fees and costs finally awarded against Customer as a result of, or for amounts paid by Customer under a settlement approved by Databricks in writing of, a Claim Against Customer. Notwithstanding the foregoing, Databricks will have no liability for any infringement or misappropriation claim of any kind if such claim arises from: (a) the public open source version of Apache Spark (located at github.com/apache/spark) if the claim of infringement or misappropriation does not allege specifically that the infringement or misappropriation arises from the Platform Services (as opposed to Apache Spark itself); (b) the combination, operation or use of the Databricks Services with equipment, devices, software or data (including without limitation your Confidential Information) not supplied by Databricks if a claim would not have occurred but for such combination, operation or use; or (c) your or an Authorized User’s use of the Databricks Services other than in accordance with the Documentation and the Agreement.Other Remedies. If Databricks receives information about an infringement or misappropriation claim related to a Databricks Service or otherwise becomes aware of a claim that the provision of any of the Databricks Services is unlawful in a particular territory, then Databricks may at its sole option and expense: (a) replace or modify the applicable Databricks Services to make them non-infringing and of substantially equivalent functionality; (b) procure for you the right to continue using the Databricks Services under the terms of the Agreement; or (c) if Databricks is unable to accomplish either (a) or (b) despite using its reasonable efforts, terminate your rights and Databricks’ obligations under the Agreement with respect to such Databricks Services and refund to you any Fees prepaid by you to Databricks for Databricks Services not yet provided.Indemnification by Customer. Subject to Section 7.5 (Conditions of Indemnification), Customer will defend Databricks against any claim, demand, suit or proceeding made or brought against  Databricks by a third party (a “Claim Against Databricks”) (a) arising from or related to Customer’s use of the Databricks Services in violation of any applicable laws, the rights of a third party, or the Agreement, or (b) arising from or related to Customer Content or its use with the Databricks Services, (c) alleging that any information and / or  materials you provide to Databricks for Databricks to perform Advisory Services as defined in an Advisory Services Schedule (if applicable) (“Customer Materials”) or the use of Customer Materials with the Databricks Services infringes or misappropriates such party’s Intellectual Property Rights, and / or (d) arising from any instructions provided by Customer to Databricks in the creation by Databricks of the Deliverables (as defined in the Advisory Services Schedule (if applicable)), and will indemnify Databricks from and against any damages, attorney fees and costs finally awarded against Databricks as a result of a Claim Against Databricks, or for amounts paid by Databricks under a settlement approved by Customer in writing.Sole Remedy. SUBJECT TO SECTION 7.5 (CONDITIONS OF INDEMNIFICATION) BELOW, THE FOREGOING SECTIONS 7.1 (INDEMNIFICATION BY DATABRICKS) AND 7.2 (OTHER REMEDIES) STATE THE ENTIRE OBLIGATION OF DATABRICKS AND ITS LICENSORS WITH RESPECT TO ANY ALLEGED OR ACTUAL INFRINGEMENT OR MISAPPROPRIATION OF INTELLECTUAL PROPERTY RIGHTS BY THE DATABRICKS SERVICES.Conditions of Indemnification. As a condition to an indemnifying party’s (each, an “Indemnitor”) obligations under this Section 7 (Indemnification), a party seeking indemnification (each, an ”Indemnitee”) will: (a) promptly notify the Indemnitor of the claim for which the Indemnitee is seeking indemnification (but late notice will only relieve Indemnitor of its obligation to indemnify to the extent that it has been prejudiced by the delay); (b) grant the Indemnitor sole control of the defense (including selection of counsel) and settlement of the claim; (c) provide the Indemnitor, at the Indemnitor’s expense, with all assistance, information and authority reasonably required for the defense and settlement of the claim; and (d) preserve and will not waive legal, professional or any other privilege attaching to any of the records, documents, or other information in relation to such claim without prior notification of consent by the Indemnitor. The Indemnitor will not settle any claim in a manner that does not fully discharge the claim against an Indemnitee or that imposes any obligation on, or restricts any right of, an Indemnitee without the Indemnitee’s prior written consent, which may not be unreasonably withheld or delayed. An Indemnitee has the right to retain counsel, at the Indemnitee’s expense, to participate in the defense or settlement of any claim. The Indemnitor will not be liable for any settlement or compromise that an Indemnitee enters into without the Indemnitor’s prior written consent.Limitation of Liability. EXCEPT WITH RESPECT TO (I) LIABILITY THAT CANNOT BE EXCLUDED OR LIMITED BY APPLICABLE LAWS, (II) LIABILITY ARISING OUT OF FRAUD OR FRAUDULENT MISREPRESENTATION, OR (III) CUSTOMER’S INDEMNIFICATION OBLIGATIONS, NEITHER PARTY WILL HAVE ANY LIABILITY FOR: (A) INDIRECT, INCIDENTAL, SPECIAL, PUNITIVE, OR CONSEQUENTIAL LOSS OR DAMAGES; (B) LOST PROFITS OR REVENUE; (C) LOSS OF GOODWILL; (D) LOSS OF DATA; OR (E) LOSS ARISING FROM INACCURATE OR UNEXPECTED RESULTS ARISING FROM THE USE OF THE DATABRICKS SERVICES, REGARDLESS OF WHETHER SUCH PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH LOSSES OR DAMAGES ARISING.SUBJECT TO SECTIONS 8.1, 8.3, 8.4 AND 8.5, EXCEPT WITH RESPECT TO LIABILITY ARISING OUT OF: (I) PERSONAL INJURY OR DEATH CAUSED BY THE NEGLIGENCE OF A PARTY, ITS EMPLOYEES, OR AGENTS; (II) DATABRICKS’ INDEMNIFICATION OBLIGATIONS FOR AN IP CLAIM; OR (III) CUSTOMER’S INDEMNIFICATION OBLIGATIONS, IN NO EVENT WILL THE AGGREGATE LIABILITY OF EACH PARTY TOGETHER WITH ALL OF ITS AFFILIATES ARISING OUT OF OR RELATED TO THE AGREEMENT EXCEED THE TOTAL AMOUNT PAID BY CUSTOMER AND ITS AFFILIATES FOR THE DATABRICKS SERVICES GIVING RISE TO THE LIABILITY IN THE TWELVE (12) MONTHS PRECEDING THE FIRST INCIDENT OUT OF WHICH THE LIABILITY AROSE (THE “GENERAL CAP”). THE FOREGOING LIMITATION WILL APPLY WHETHER AN ACTION IS IN CONTRACT OR TORT AND REGARDLESS OF THE THEORY OF LIABILITY, BUT WILL NOT LIMIT CUSTOMER’S AND ITS AFFILIATES’ PAYMENT OBLIGATIONS UNDER SECTION 10 (PAYMENT).SUBJECT TO SECTIONS 8.1, 8.4 AND 8.5, DATABRICKS’ AGGREGATE LIABILITY FOR ANY CLAIMS OR DAMAGES, DIRECT OR OTHERWISE, ARISING OUT OF OR IN CONNECTION WITH DATABRICKS’ BREACH OF ITS CONFIDENTIALITY OBLIGATIONS (SECTION 2.2) OR, WITH RESPECT TO THE PROVISION BY DATABRICKS OF THE PLATFORM SERVICES (IF APPLICABLE), THE DATA PROTECTION AND SECURITY OBLIGATIONS SET FORTH IN THIS AGREEMENT AND THE DPA, WHERE SUCH BREACH RESULTS IN UNAUTHORIZED DISCLOSURE OF CUSTOMER CONTENT, EXCEPT TO THE EXTENT SUCH CLAIMS OR DAMAGES ARE CAUSED BY DATABRICKS’ GROSS NEGLIGENCE OR WILLFUL MISCONDUCT, SHALL BE LIMITED TO TWO (2) TIMES THE TOTAL AMOUNT PAID BY CUSTOMER AND ITS AFFILIATES FOR THE DATABRICKS SERVICES GIVING RISE TO THE LIABILITY IN THE TWELVE (12) MONTHS PRECEDING THE FIRST INCIDENT OUT OF WHICH THE LIABILITY AROSE (“SUPERCAP”).IN NO EVENT SHALL DATABRICKS BE LIABLE FOR THE SAME EVENT UNDER BOTH THE GENERAL CAP AND THE SUPERCAP. SIMILARLY, THOSE CAPS SHALL NOT BE CUMULATIVE; IF THERE ARE ONE OR MORE CLAIMS SUBJECT TO EACH OF THOSE CAPS, THE MAXIMUM TOTAL LIABILITY FOR ALL CLAIMS IN THE AGGREGATE SHALL NOT EXCEED THE SUPERCAP.NOTWITHSTANDING ANYTHING CONTAINED ABOVE, DATABRICKS' LIABILITY RELATING TO BETA SERVICES OR ANY DATABRICKS SERVICES PROVIDED FREE OF CHARGE, INCLUDING ANY DATABRICKS SERVICES PROVIDED DURING A FREE TRIAL PERIOD, WILL BE LIMITED TO FIVE THOUSAND US DOLLARS (USD $5,000).TermTerm of Agreement. The Agreement will become effective on the Effective Date and will continue in full force and effect until terminated by either party pursuant to this Section 9 (Term). The Agreement may be terminated (i) by either party on thirty (30) days’ prior written notice if (a) there are no operative Orders outstanding or (b) the other party is in material breach of the Agreement and the breaching party fails to cure the breach prior to the end of the notice period; or (ii) by Databricks upon thirty (30) days’ prior written notice following your receipt of a notice that you are delinquent in the payment of undisputed Fees. If the Agreement terminates pursuant to the prior sentence due to Databricks’ material breach, Databricks will refund to you that portion of any prepayments made to Databricks related to Databricks Services not yet provided. Either party can immediately terminate the Agreement if the other becomes insolvent, makes an assignment for the benefit of its creditors, has a receiver, examiner, or administrator of its undertaking of the whole or a substantial part of its assets appointed, or an order is made, or an effective resolution is passed, for its administration, examinership, receivership, liquidation, winding-up or other similar process, or has any distress, execution or other process levied or enforced against the whole or a substantial part of its assets (which is not discharged, paid out, withdrawn or removed within 30 days), or is subject to any proceedings which are equivalent or substantially similar to any of the foregoing under any applicable jurisdiction, or ceases to conduct business or threatens to do so.Term of Orders. The Term of an Order will be as specified in the Order.Survival. All provisions of the Agreement that by their nature should survive termination will so survive.Payment. Unless your usage of the Databricks Services is being paid for by a third party under contract with Databricks, you will pay all Fees specified in the applicable Order. With respect to direct Order, except as otherwise specified therein: (a) all Fees owed to Databricks will be paid in U.S. Dollars; (b) invoiced payments will be due within 30 days of the date of your receipt of each invoice; (c) Fees for all prepaid committed Databricks Services will be invoiced in full upon execution of the applicable Order; and (d) all excess usage will be invoiced monthly in arrears. With respect to an Order entered into with a reseller, payment terms will be specified on such Order, provided that should you fail to pay Fees when due to a Databricks-authorized reseller, Databricks may seek payment directly from you. All past due payments, except to the extent reasonably disputed, will accrue interest at the highest rate allowed under applicable laws but in no event more than one and one-half percent (1.5%) per month. You will be solely responsible for payment of any applicable sales, value added or use taxes, or similar government fees or taxes.Compliance with Laws.By Databricks Generally. Databricks will provide the Databricks Services in accordance with its obligations under laws and government regulations applicable to Databricks’ provision of the Databricks Services to its customers generally, including, without limitation those related to data protection and data privacy, irrespective of Customer’s particular use of the services.By Customer Generally. You represent and warrant to Databricks that your use of Databricks Services will comply with all applicable laws and government regulations, including without limitation those related to data protection and data privacy. Export Controls; Trade Sanctions. The Databricks Services may be subject to export controls and trade sanctions laws of the United States and other jurisdictions. Customer acknowledges and agrees that it will comply with all applicable export controls and trade sanctions laws, regulations and/or any other relevant restrictions in Customer’s use of the Databricks Services, including that you will not permit access to or use of any Databricks Services in any country where such access or use is subject to a trade embargo or prohibition, and that you will not use Databricks Services in support of any controlled technology, industry, or goods or services, or any other restricted use, without having a valid governmental license, authority, or permission to engage in such conduct. Each party further represents that it (and with respect to Customer, each Authorized User and / or Affiliate accessing the Databricks Services)  is not named on any governmental or quasi-governmental denied party or debarment list relevant to this Agreement, and is not owned directly or indirectly by persons whose aggregated interest in such party is 50% or more and who are named on any such list(s). Business Practices; Code of Conduct. Databricks maintains a set of business practice principles and policies in the Databricks Global Code of Conduct, which employees are required to follow. Databricks will abide by these principles and policies in the conduct of all business for Customer and expects your use of any Databricks Services to be conducted utilizing principles of business ethics and social responsibility and, with respect to any Platform Services, in accordance with Databricks’ Acceptable Use Policy and the applicable Platform Services terms set forth in the Agreement.General. Governing Law and Venue. The governing law and exclusive venue applicable to any lawsuit or other dispute arising in connection with the Agreement will be determined by the location of Customer’s principal place of business (“Domicile”), as follows: Customer’s DomicileGoverning LawVenue(courts with exclusive jurisdiction)CaliforniaCaliforniaSan Francisco(state and U.S. federal courts)Americas (except California and Canada); Middle East; AfricaDelawareDelaware(state and U.S. federal courts)CanadaOntarioTorontoUnited KingdomEngland & WalesLondonEurope (including Turkey)IrelandDublinPacific & AsiaSingaporeSingaporeAustralia and New ZealandAustraliaVictoriaThe parties hereby irrevocably consent to the personal jurisdiction and venue of the courts in the venues shown above. Unless prohibited by governing law or venue, each party irrevocably agrees to waive jury trial.  In all cases, the application of law will be without regard to, or application of, conflict of law rules or principles, and the United Nations Convention on Contracts for the International Sale of Goods will not apply.Insurance Coverage.Databricks will maintain commercially appropriate insurance coverage given the nature of the Databricks Services and Databricks’ obligations under the Agreement. Such insurance will be in an industry standard form with licensed insurance carriers with A.M. Best ratings of A-IX or better, and will include commercially appropriate cyber liability insurance coverage. Upon request, Databricks will provide Customer with certificates of insurance evidencing such coverage.Entire Agreement, Construction, Amendment and Execution. The Agreement is the complete and exclusive understanding and agreement between the parties regarding its subject matter, provided that to the extent Customer uses any Databricks Services subject to Schedules not included in the Agreement, the relevant Schedule in effect at the time of first use at databricks.com/legal/mcsa shall be deemed to govern use of such Databricks Services unless the parties agree otherwise in writing and any reference to a term in such Schedule shall be interpreted accordingly. Databricks may change and update the Platform Services, in which case Databricks may update the Documentation. To the extent any provision in an Order clearly conflicts with a provision of this MCSA or a provision of an earlier Order, the provision in the new Order will be binding and the conflicting provision in this MCSA or in the earlier Order will be deemed modified solely to the extent reasonably necessary to eliminate the conflict and solely with respect to the new Order (unless expressly intended to permanently amend the Agreement including any Schedule). Customer’s Affiliates may receive the Databricks Services under this Agreement as Authorized Users, however in the event that a Customer Affiliate wishes to execute its own Order subject to the terms of this Agreement then Customer agrees to remain jointly and severally liable for such use. If any provision of the Agreement is held to be unenforceable or invalid, that provision will be enforced to the maximum extent possible and the other provisions will remain in full force and effect. The headings in the Agreement are solely for convenience and will not be taken into consideration in interpretation of the Agreement. Any translation of the Agreement or an Order that is provided as a courtesy shall not be legally binding and the English language version will always prevail. Each party acknowledges and agrees that it has adequate sophistication, including legal representation, fully to review and understand the Agreement; therefore, in interpretation of the Agreement with respect to any drafting ambiguities that may be identified or alleged, no presumption will be given in favor of the non-drafting party. The Agreement may not be modified or amended except by mutual written agreement of the parties. Without limiting the foregoing, no Customer purchase order will be deemed to modify an Order or the Agreement unless expressly pre-authorized in writing by Databricks. The Agreement may be executed in two or more counterparts, each of which will be deemed an original and all of which, taken together, will constitute one and the same instrument. A party’s electronic signature or transmission of any document by electronic means will be deemed to bind such party as if signed and transmitted in physical form.Publicity. Customer consents to Databricks’ use of Customer's name and logo for public identification as a customer, along with general descriptions of any non-confidential matters Databricks has handled for Customer in promotional marketing materials and press releases. In addition, upon request, Customer consents to participating in a case study regarding its experiences with the Databricks Services ("Case Study"), and inclusion of the Case Study in promotional marketing materials and press releases.Assignment. No assignment, novation or transfer of a party’s rights and obligations under the Agreement (“Assignment”) is permitted except with the prior written approval of the other party, which will not be unreasonably withheld.  Notwithstanding the foregoing, either party may freely make an Assignment to a successor in interest upon a change of control; if such Assignment is to a direct competitor of the other party or would cause the other party to become in violation of applicable laws that is not reasonably addressable, such other party may terminate the Agreement upon written notice.Notice. Any required notice under the Agreement will be deemed given when received by letter delivered by nationally recognized overnight delivery service or recorded prepaid mail. Unless notified in writing of a change of address, you will send any required notice to Databricks, Inc., 160 Spear Street, Suite 1300, San Francisco, CA 94105, USA, attention: Legal Department, or to the alternative Databricks Affiliate (if any) identified in an applicable Order, and Databricks will send any required notice to you directed to the most recent address you have provided to Databricks for such notice.Force Majeure. Neither party will be liable or responsible to the other party nor be deemed to have defaulted under or breached the Agreement for any failure or delay in fulfilling or performing any term of the Agreement (except for any obligations to make payments to the other party), when and to the extent such failure or delay is caused by or results from acts beyond the impacted party’s (“Impacted Party”) reasonable control, including without limitation the following force majeure events (“Force Majeure Event(s)“): (a) acts of God, (b) acts of government, including any changes in law or regulations, (c) acts or omissions of third parties, (d) flood, fire, earthquakes, civil unrest, wars, acts of terror, pandemics, or strikes or other actions taken by labor organizations, (e) computer, telecommunications, the Internet, Internet service provider or hosting facility failures or delays involving hardware, software or power systems not within the Impacted Party’s possession or reasonable control, (f) network intrusions or denial of service attacks, or (g) any other cause, whether similar or dissimilar to any of the foregoing, that is beyond the Impacted Party’s reasonable control.Last Updated December 1, 2022. For earlier versions, please send a request to [email protected] (with “TOS Request” in the subject).MCSA_OnlineStandard_ENG_v.3.0_20221201ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. 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The Databricks BlogSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWLoading...ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
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Jacek Laskowski - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingJacek LaskowskiIT Freelancer at japila.plBack to speakersI’m Jacek Laskowski, an IT freelancer specializing in Apache Spark, Delta Lake, Databricks and Apache Kafka (incl. Kafka Streams and ksqlDB) (with brief forays into a wider data engineering space, e.g. Trino, Dask and dbt, mostly during Warsaw Data Engineering meetups). He is best known by The Internals Of online books at https://books.japila.pl.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
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Glossaries Archive | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWGlossaryA-ZsearchACID Transactions What is a transaction? In the context of databases and data storage systems, a transaction is any operation that is treated as a single unit of work, which either completes fully or does not complete at all, and leaves the storage system in a cons{...}AdaGrad Gradient descent is the most commonly used optimization method deployed in machine learning and deep learning algorithms. It’s used to train a machine learning model. Types of Gradient Descent There are three primary types of gradient descent {...}Alternative Data What is Alternative Data? Alternative data is information gathered by using alternative sources of data that others are not using; &nbsp;non-traditional information sources. Analysis of alternative data can provide insights beyond that which an in{...}Anomaly Detection Anomaly Detection is the technique of identifying rare events or observations which can raise suspicions by being statistically different from the rest of the observations. Such “anomalous” behavior typically translates to some kind of a problem like{...}Apache Hive What is Apache Hive? Apache Hive is open-source data warehouse software designed to read, write, and manage large datasets extracted from the Apache Hadoop Distributed File System (HDFS) , one aspect of a larger Hadoop Ecosystem. With exten{...}Apache Kudu What is Apache Kudu? Apache Kudu is a free and open source columnar storage system developed for the Apache Hadoop. It is an engine intended for structured data that supports low-latency random access millisecond-scale access to individual rows to{...}Apache Kylin What is Apache Kylin? Apache Kylin is a distributed open source online analytics processing (OLAP) engine for interactive analytics Big Data. Apache Kylin has been designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/S{...}Apache Spark What Is Apache Spark? Apache Spark is an open source analytics engine used for big data workloads. It can handle both batches as well as real-time analytics and data processing workloads.&nbsp;Apache Spark started in 2009 as a research project at {...}Apache Spark as a Service What is Apache Spark as a Service? Apache Spark is an open source cluster computing framework for fast real-time large-scale data processing.&nbsp;Since its inception in 2009 at UC Berkeley’s AMPLab, Spark has seen major growth. It is currently ra{...}Artificial Neural Network What is an Artificial Neural Network? An artificial neuron network (ANN) is a computing system patterned after the operation of neurons in the human brain. How Do Artificial Neural Networks Work? Artificial Neural Networks can be best viewed{...}Automation Bias What is Automation Bias? Automation bias is an over-reliance on automated aids and decision support systems. As the availability of automated decision aids is increasing additions to critical decision-making contexts such as intensive care units, {...}Bayesian Neural Network What Are Bayesian Neural Networks? Bayesian Neural Networks (BNNs) refers to extending standard networks with posterior inference in order to control over-fitting. From a broader perspective, the Bayesian approach uses the statistical methodology {...}Big Data Analytics The Difference Between Data and Big Data Analytics Prior to the invention of Hadoop, the technologies underpinning modern storage and compute systems were relatively basic, limiting companies mostly to the analysis of "small data." Even this relat{...}Bioinformatics Bioinformatics is a field of study that uses computation to extract knowledge from large collections of biological data. Bioinformatics refers to the use of IT in biotechnology for storing, retrieving, organizing and analyzing biological data.{...}Catalyst Optimizer At the core of Spark SQL is the Catalyst optimizer, which leverages advanced programming language features (e.g. Scala’s pattern matching and quasi quotes) in a novel way to build an extensible query optimizer. Catalyst is based on functional program{...}Complex Event Processing What is Complex Event Processing [CEP]? Complex event processing [CEP] also known as event, stream or event stream processing is the use of technology for querying data before storing it within a database or, in some cases, without it ever being s{...}Continuous Applications Continuous applications are an end-to-end application that reacts to data in real-time. In particular, developers would like to use a single programming interface to support the facets of continuous applications that are currently handled in separate{...}Convolutional Layer In deep learning, a convolutional neural network (CNN or ConvNet) is a class of deep neural networks, that are typically used to recognize patterns present in images but they are also used for spatial data analysis, computer vision, natural language {...}Data Analysis Platform What is a Data Analysis Platform? A data analytics platform is an ecosystem of services and technologies that needs to perform analysis on voluminous, complex and dynamic data that allows you to retrieve, combine, interact with, explore, and visua{...}Data Governance What is Data Governance? Data governance is the oversight to ensure data brings value and supports the business strategy. Data governance is more than just a tool or a process. It aligns data-related requirements to the business strategy using a f{...}Data Lakehouse What is a Data Lakehouse? A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business int{...}Data Mart What is a data mart? A data mart is a curated database including a set of tables that are designed to serve the specific needs of a single data team, community, or line of business, like the marketing or engineering department. It is normally smal{...}Data Sharing What is data sharing? Data sharing is the ability to make the same data available to one or many consumers. Nowadays, the ever-growing amount of data has become a strategic asset for any company. Sharing data - within your organization or external{...}Data Vault What is a data vault? A data vault is a data modeling design pattern used to build a data warehouse for enterprise-scale analytics. The data vault has three types of entities: hubs, links, and satellites. Hubs represent core business concepts, {...}Data Warehouse What is a data warehouse? A data warehouse is a data management system that stores current and historical data from multiple sources in a business friendly manner for easier insights and reporting. Data warehouses are typically used for business i{...}Databricks Runtime Databricks Runtime is the set of software artifacts that run on the clusters of machines managed by Databricks. It includes Spark but also adds a number of components and updates that substantially improve the usability, performance, and security of {...}DataFrames What is a DataFrame? A DataFrame is a data structure that organizes data into a 2-dimensional table of rows and columns, much like a spreadsheet. DataFrames are one of the most common data structures used in modern data analytics because they are {...}Datasets Datasets are a type-safe version of Spark's structured API for Java and Scala. This API is not available in Python and R, because those are dynamically typed languages, but it is a powerful tool for writing large applications in Scala and Java. Recal{...}Deep Learning What is Deep Learning? Deep Learning is a subset of machine learning concerned with large amounts of data with algorithms that have been inspired by the structure and function of the human brain, which is why deep learning models are often referre{...}Demand Forecasting What is demand forecasting? Demand forecasting is the process of projecting consumer demand (equating to future revenue). Specifically, it is projecting the assortment of products shoppers will buy using quantitative and qualitative data. Ret{...}Dense Tensor Dense tensors store values in a contiguous sequential block of memory where all values are represented. Tensors or multi-dimensional arrays are used in a diverse set of multi-dimensional data analysis applications. There are a number of software prod{...}Digital Twin What is a Digital Twin? The classical definition of of digital twin is; ""A digital twin is a virtual model designed to accurately reflect a physical object."" – IBM[KVK4] For a discrete or continuous manufacturing process, a digital twin gathers {...}DNA Sequence What is a DNA Sequence? The DNA sequence is the process of determining the exact sequence of nucleotides of DNA (deoxyribonucleic acid). &nbsp;Sequencing DNA the order of the four chemical building blocks - adenine, guanine, cytosine, and thymine {...}Extract Transform Load (ETL) What is ETL? As the amount of data, data sources, and data types at organizations grow, the importance of making use of that data in analytics, data science and machine learning initiatives to derive business insights grows as well. The need to pr{...}Feature Engineering Feature engineering for machine learning Feature engineering, also called data preprocessing, is the process of converting raw data into features that can be used to develop machine learning models. This topic describes the principal concepts of f{...}Genomics Genomics is an area within genetics that concerns the sequencing and analysis of an organism's genome. Its main task is to determine the entire sequence of DNA or the composition of the atoms that make up the DNA and the chemical bonds between the DN{...}Hadoop Cluster What Is a Hadoop Cluster? Apache Hadoop is an open source, Java-based, software framework and parallel data processing engine. It enables big data analytics processing tasks to be broken down into smaller tasks that can be performed in parallel by{...}Hadoop Distributed File System (HDFS) HDFS HDFS (Hadoop Distributed File System) is the primary storage system used by Hadoop applications. This open source framework works by rapidly transferring data between nodes. It's often used by companies who need to handle and store big data. {...}Hadoop Ecosystem What is the Hadoop Ecosystem? Apache Hadoop ecosystem refers to the various components of the Apache Hadoop software library; it includes open source projects as well as a complete range of complementary tools. Some of the most well-known tools of{...}Hash Buckets In computing, a hash table [hash map] is a data structure that provides virtually direct access to objects based on a key [a unique String or Integer]. A hash table uses a hash function to compute an index into an array of buckets or slots, from whic{...}Hive Date Function What is a Hive Date Function? Hive provides many built-in functions to help us in the processing and querying of data. Some of the functionalities provided by these functions include string manipulation, date manipulation, type conversion, conditi{...}Hosted Spark What is Hosted Spark? Apache Spark is a fast and general cluster computing system for Big Data built around speed, ease of use, and advanced analytics that was originally built in 2009 at UC Berkeley. It provides high-level APIs in Scala, Java, Py{...}Jupyter Notebook What is a Jupyter Notebook? A Jupyter Notebook is an open source web application that allows data scientists to create and share documents that include live code, equations, and other multimedia resources. What are Jupyter Notebooks used fo{...}Keras Model What is a Keras Model? Keras is a high-level library for deep learning, built on top of Theano and Tensorflow. It is written in Python and provides a clean and convenient way to create a range of deep learning models.&nbsp;Keras has become one of {...}Lakehouse for Retail What is Lakehouse for Retail? Lakehouse for Retail is Databricks’ first industry-specific Lakehouse. It helps retailers get up and running quickly through solution accelerators, data sharing capabilities, and a partner ecosystem. Lakehouse fo{...}Lambda Architecture What is Lambda Architecture? Lambda architecture is a way of processing massive quantities of data (i.e. "Big Data") that provides access to batch-processing and stream-processing methods with a hybrid approach. Lambda architecture is used to solv{...}Machine Learning Library (MLlib) Apache Spark’s Machine Learning Library (MLlib) is designed for simplicity, scalability, and easy integration with other tools. With the scalability, language compatibility, and speed of Spark, data scientists can focus on their data problems and mod{...}Machine Learning Models What is a machine learning Model? A machine learning model is a program that can find patterns or make decisions from a previously unseen dataset. For example, in natural language processing, machine learning models can parse and correctly recogni{...}Managed Spark What is Managed Spark? A managed Spark service lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning. By using such an automation you will be able to quickly create clusters on -demand, m{...}MapReduce What is MapReduce? MapReduce is a Java-based, distributed execution framework within the Apache Hadoop Ecosystem.&nbsp; It takes away the complexity of distributed programming by exposing two processing steps that developers implement: 1) Map and {...}Materialized views Delta Pipelines / Materialized Views in Databricks Delta Intro Delta Pipelines provides a set of APIs and UI for managing the data pipeline lifecycle. This open-source framework helps data engineering teams simplify ETL development, improve dat{...}Medallion Architecture What is a medallion architecture? A medallion architecture is a data design pattern used to logically organize data in a lakehouse, with the goal of incrementally and progressively improving the structure and quality of data as it flows through ea{...}ML Pipelines Typically when running machine learning algorithms, it involves a sequence of tasks including pre-processing, feature extraction, model fitting, and validation stages. For example, when classifying text documents might involve text segmentation and c{...}MLOps What is MLOps? MLOps stands for Machine Learning Operations. MLOps is a core function of Machine Learning engineering, focused on streamlining the process of taking machine learning models to production, and then maintaining and monitoring them. M{...}Model Risk Management Model risk management refers to the supervision of risks from the potential adverse consequences of decisions based on incorrect or misused models. The aim of model risk management is to employ techniques and practices that will identify, measure and{...}Neural Network What is a Neural Network? A neural network is a computing model whose layered structure resembles the networked structure of neurons in the brain. It features interconnected processing elements called neurons that work together to produce an outpu{...}Open Banking What is Open Banking? Open banking is a secure way to provide access to consumers' financial data, all contingent on customer consent.² Driven by regulatory, technology, and competitive dynamics, Open Banking calls for the democratization of custo{...}Orchestration What is Orchestration? Orchestration is the coordination and management of multiple computer systems, applications and/or services, stringing together multiple tasks in order to execute a larger workflow or process. These processes can consist of {...}Overall Equipment Effectiveness What is Overall Equipment Effectiveness? Overall Equipment Effectiveness(OEE) is a measure of how well a manufacturing operation is utilized (facilities, time and material) compared to its full potential, during the periods when it is scheduled to{...}pandas DataFrame When it comes to data science, it's no exaggeration to say that you can transform the way your business works by using it to its full potential with pandas DataFrame. To do that, you'll need the right data structures. These will help you be as ef{...}Parquet What is Parquet? Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides efficient data compression and encoding schemes with enhanced performance to handle complex data in {...}Personalized Finance What is Personalized Finance? Financial products and services are becoming increasingly commoditized and consumers are becoming more discerning as the media and retail industries have increased their penchant for personalized experiences. To remai{...}Predictive Analytics What is Predictive Analytics? Predictive analytics is a form of advanced analytics that uses both new and historical data to determine patterns and predict future outcomes and trends. How Does Predictive Analytics Work? Predictive analytics {...}Predictive Maintenance What is predictive maintenance? Predictive Maintenance, in a nutshell, is all about figuring out when an asset should be maintained, and what specific maintenance activities need to be performed, based on an asset’s actual condition or state, rath{...}PyCharm PyCharm is an integrated development environment (IDE) used in computer programming, created for the Python programming language. When using PyCharm on Databricks, by default PyCharm creates a Python Virtual Environment, but you can configure to crea{...}PySpark What is PySpark? Apache Spark is written in Scala programming language. PySpark has been released in order to support the collaboration of Apache Spark and Python, it actually is a Python API for Spark. In addition, PySpark, helps you interface wi{...}Real-Time Retail What is real-time data for Retail? Real-time retail is real-time access to data. Moving from batch-oriented access, analysis and compute will allow data to be “always on,” therefore driving accurate, timely decisions and business intelligence. {...}Resilient Distributed Dataset (RDD) RDD was the primary user-facing API in Spark since its inception. At the core, an RDD is an immutable distributed collection of elements of your data, partitioned across nodes in your cluster that can be operated in parallel with a low-level API {...}Snowflake Schema What is a snowflake schema? A snowflake schema is a multi-dimensional data model that is an extension of a star schema, where dimension tables are broken down into subdimensions. Snowflake schemas are commonly used for business intelligence and re{...}Spark API If you are working with Spark, you will come across the three APIs: DataFrames, Datasets, and RDDs What are Resilient Distributed Datasets? RDD or Resilient Distributed Datasets, is a collection of records with distributed computing, which are {...}Spark Applications Spark Applications consist of a driver process and a set of executor processes. The driver process runs your main() function, sits on a node in the cluster, and is responsible for three things: maintaining information about the Spark Application; res{...}Spark Elasticsearch What is Spark Elasticsearch? Spark Elasticsearch is a NoSQL, distributed database that stores, retrieves, and manages document-oriented and semi-structured data. It is a GitHub open source, RESTful search engine built on top of Apache Lucene and r{...}Spark SQL Many data scientists, analysts, and general business intelligence users rely on interactive SQL queries for exploring data. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrames and can al{...}Spark Streaming Apache Spark Streaming is the previous generation of Apache Spark’s streaming engine. There are no longer updates to Spark Streaming and it’s a legacy project. There is a newer and easier to use streaming engine in Apache Spark called Structured Stre{...}Spark Tuning What is Spark Performance Tuning? Spark Performance Tuning refers to the process of adjusting settings to record for memory, cores, and instances used by the system. This process guarantees that the Spark has a flawless performance and also preven{...}Sparklyr What is Sparklyr? Sparklyr is an open-source package that provides an interface between R and Apache Spark. You can now leverage Spark’s capabilities in a modern R environment, due to Spark’s ability to interact with distributed data with little l{...}SparkR SparkR is a tool for running R on Spark. It follows the same principles as all of Spark’s other language bindings. To use SparkR, we simply import it into our environment and run our code. It’s all very similar to the Python API except that it follow{...}Sparse Tensor Python offers an inbuilt library called numpy to manipulate multi-dimensional arrays. The organization and use of this library is a primary requirement for developing the pytensor library. Sptensor is a class that represents the sparse tensor. A spa{...}Star Schema What is a star schema? A star schema is a multi-dimensional data model used to organize data in a database so that it is easy to understand and analyze. Star schemas can be applied to data warehouses, databases, data marts, and other tools. The st{...}Streaming Analytics How Does Stream Analytics Work? Streaming analytics, also known as event stream processing, is the analysis of huge pools of current and “in-motion” data through the use of continuous queries, called event streams. These streams are triggered by a{...}Structured Streaming Structured Streaming is a high-level API for stream processing that became production-ready in Spark 2.2. Structured Streaming allows you to take the same operations that you perform in batch mode using Spark’s structured APIs, and run them in a stre{...}Supply Chain Management What is supply chain management? Supply chain management is the process of planning, implementing and controlling operations of the supply chain with the goal of efficiently and effectively producing and delivering products and services to the end{...}TensorFlow In November of 2015, Google released its open-source framework for machine learning and named it TensorFlow. It supports deep-learning, neural networks, and general numerical computations on CPUs, GPUs, and clusters of GPUs. One of the biggest advant{...}Tensorflow Estimator API What is the Tensorflow Estimator API? Estimators represent a complete model but also look intuitive enough to less user. The Estimator API provides methods to train the model, to judge the model’s accuracy, and to generate predictions. TensorFlow {...}Transformations What Are Transformations? In Spark, the core data structures are immutable meaning they cannot be changed once created. This might seem like a strange concept at first, if you cannot change it, how are you supposed to use it? In order to “change” {...}Tungsten What is the Tungsten Project? Tungsten is the codename for the umbrella project to make changes to Apache Spark’s execution engine that focuses on substantially improving the efficiency of memory and CPU for Spark applications, to push performance{...}Unified AI Framework Unified Artificial Intelligence or UAI was announced by Facebook during F8 this year. This brings together 2 specific deep learning frameworks that Facebook created and outsourced - PyTorch focused on research assuming access to large-scale compute r{...}Unified Data Analytics Unified Data Analytics is a new category of solutions that unify data processing with AI technologies, making AI much more achievable for enterprise organizations and enabling them to accelerate their AI initiatives. Unified Data Analytics makes it e{...}Unified Data Analytics Platform Databricks' Unified Data Analytics Platform&nbsp;helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks as your Unified Data Analytics Platform, you can quickly prepare and clean data at mass{...}Unified Data Warehouse What is a Unified Data Warehouse? A unified database also known as an enterprise data warehouse holds all the business information of an organization and makes it accessible all across the company. Most companies today, have their data managed in {...}What Is Hadoop? Apache Hadoop is an open source, Java-based software platform that manages data processing and storage for big data applications. 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Maciej Szpakowski - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingMaciej SzpakowskiCo-founder at ProphecyBack to speakersMaciej is the co-founder @ Prophecy, where he's building the first low-code data engineering platform. Having previously built a startup making medical research accessible through ML/Spark, he dreams of a world where data is not feared but leveraged.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/jordan-donmoyer
Jordan Donmoyer - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingJordan DonmoyerManager, Customer Data Solutions at The Hershey CompanyBack to speakersJordan leads the Customer Data Solutions team at The Hershey Company, and in his role, he partners with key strategic Category Management teams and retailer commercial data partners to develop and manage the multi-year strategic plans to enable and unlock organizational topline growth for Hershey. Jordan also partners with internal IS teams to drive the development of strategic policies impacting data sharing, maintaining data literacy, and cataloging key strategic retailer data. Jordan brings over 6 years of supply chain, logistics, reporting & analytics, and leadership/management experience to his role within the Commercial Data team. Jordan currently resides with his family in Fayetteville, Arkansas, but was born and raised in Lititz, Pennsylvania, just forty minutes outside of Hershey, PA. He played baseball at Pennsylvania State University where he graduated with a Bachelor’s in Supply Chain and Information Systems and a minor in Information Systems Management.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
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In particular, we may transfer your personal information to the United States and other countries where our affiliates, business partners and services providers are located. These countries may not have equivalent data protection laws to the country where you reside. Wherever we process your personal information, we take appropriate steps to ensure it is protected in accordance with this Privacy Notice and applicable data protection laws. These safeguards include implementing the European Commission’s Standard Contractual Clauses for transfers of personal information from the EEA or Switzerland between us and our business partners and service providers, and equivalent measures for transfers of personal information from the United Kingdom. Databricks also offers our Customers the ability to enter into a data processing addendum (DPA) that contains the Standard Contractual Clauses, for transfers between us and our Customers. We also make use of supplementary measures to ensure your information is adequately protected. Privacy Shield NoticeDatabricks adheres to the principles of the EU-U.S. and Swiss-U.S. Privacy Shield Frameworks, although Databricks no longer relies on the EU-U.S. or Swiss-U.S. Privacy Shield Frameworks as a legal basis for transfers of personal information in light of the judgment of the Court of Justice of the European Union in Case C-311/18. To learn more, visit our Privacy Shield Notice.Your Choices and RightsWe offer you choices regarding the collection, use and sharing of your personal information and we will respect the choices you make in accordance with applicable law. Please note that if you decide not to provide us with certain personal information, you may not be able to access certain features of the Sites or use the Platform Services.Account informationIf you want to correct, update or delete your account information, please log on to your Databricks account and update your profile.Opt out of marketingWe may periodically send you marketing communications that promote our products and services consistent with your choices. You may opt out from receiving such communications, either by following the unsubscribe instructions in the communication you receive or by clicking here. Please note that we may still send you important service-related communications regarding our products or services, such as communications about your subscription or account, service announcements or security information.Your privacy rightsDepending upon your place of residence, you may have rights in relation to your personal information. Please review the jurisdiction specific sections below, including the disclosures for California residents. Depending on applicable data protection laws, those rights may include asking us to provide certain information about our collection and processing of your personal information, or requesting access, correction or deletion of your personal information. You also have the right to withdraw your consent, to the extent we rely on consent to process your personal information. If you wish to exercise any of your rights under applicable data protection laws, submit a request online by completing the request form here or emailing us at [email protected]. We will respond to requests that we receive in accordance with applicable laws. Databricks may take certain steps to verify your request using information available to us, such as your email address or other information associated with your Databricks account, and if needed we may ask you to provide additional information for the purposes of verifying your request. Any information you provide to us for verification purposes will only be used to process and maintain a record of your request.As described above, we may also process personal information that has been submitted by a Customer to our Platform Services. If your personal information has been submitted to the Platform Services by or on behalf of a Databricks Customer and you wish to exercise your privacy rights, please direct your request to the relevant Customer. For other inquiries, please contact us at [email protected].Additional Information for Certain JurisdictionsThis section provides additional information about our privacy practices for certain jurisdictions.CaliforniaIf you are a California resident, the California Consumer Privacy Act (“CCPA”) requires us to provide you with additional information regarding your rights with respect to your “personal information. This information is described in our Supplemental Privacy Notice to California Residents.  Other US StatesDepending on applicable laws in your state of residence, you may request to: (1) confirm whether or not we process your personal information; (2) access, correct, or delete personal information we maintain about you; (3) receive a portable copy of such personal information; and/or (4) restrict or opt out of certain processing of your personal information, such as targeted advertising, or profiling in furtherance of decisions that produce legal or similarly significant effects. If we refuse to take action on a request, we will provide instructions on how you may appeal the decision. We will respond to requests consistent with applicable law.European Economic Area, UK and SwitzerlandIf you are located in the European Economic Area, United Kingdom or Switzerland, the controller of your personal information is Databricks, Inc., 160 Spear Street, Suite 1300, San Francisco, CA 94105, United States. We only collect your personal information if we have a legal basis for doing so. The legal basis that we rely on depends on the personal information concerned and the specific context in which we collect it. Generally, we collect and process your personal information where:We need it to enter into or perform a contract with you, such as to provide you with the Platform Services, respond to your request, or provide you with customer support;We need to process your personal information to comply with a legal obligation (such as to comply with applicable legal, tax and accounting requirements) or to protect the vital interests of you or other individuals;You give us your consent, such as to receive certain marketing communications; orWhere we have a legitimate interest, such as to respond to your requests and inquiries, to ensure the security of the Sites and Platform Services, to detect and prevent fraud, to maintain, customize and improve the Sites and Platform Services, to promote Databricks and our Platform Services, and to defend our interests and rights.If you have consented to our use of your personal information for a specific purpose, you have the right to change your mind at any time but this will not affect our processing of your information that has already taken place. You also have the following rights with respect to your personal information:The right to access, correct, update, or request deletion of your personal information;The right to object to the processing of your personal information or ask that we restrict the processing of your personal information;The right to request portability of your personal information;The right to withdraw your personal information at any time, if we collected and processed your personal information with your consent; andThe right to lodge a complaint with your national data protection authority or equivalent regulatory body.If you wish to exercise any of your rights under data protection laws, please contact us as described under “Your Choices and Rights”.Other Important InformationNotice to Authorized UsersOur Platform Services are intended to be used by organizations. Where the Platform Services are made available to you through an organization (e.g., your employer), that organization is the administrator of the Platform Services and responsible for the accounts and/or services over which it has control. For example, administrators can access and change information in your account or restrict and terminate your access to the Platform Services. We are not responsible for the privacy or security practices of an administrator's organization, which may be different from this Privacy Notice. Please contact your organization or refer to your organization's policies for more information.Data RetentionDatabricks retains the personal information described in this Privacy Notice for as long as you use our Databricks Services, as may be required by law (for example, to comply with applicable legal tax or accounting requirements), as necessary for other legitimate business or commercial purposes described in this Privacy Notice (for example, to resolve disputes or enforce our agreements), or as otherwise communicated to you.SecurityWe are committed to protecting your information. We use a variety of technical, physical, and organizational security measures designed to protect against unauthorized access, alteration, disclosure, or destruction of information. However, no security measures are perfect or impenetrable. As such, we cannot guarantee the security of your information.Third Party ServicesOur Databricks Services may contain links to third party websites, applications, services, or social networks (including co-branded websites or products that are maintained by one of our business partners). We may also make available certain features that allow you to sign into our Sites using third party login credentials (such as LinkedIn, Facebook, Twitter and Google+) or access third party services from our Platform Services (such as Github). Any information that you choose to submit to third party services is not covered by this Privacy Notice. We encourage you to read the terms of use and privacy notices of use of such third party services before sharing your information with them to understand how your information may be collected and used.Children's DataThe Sites and Platform Services are not directed to children under 18 years of age and Databricks does not knowingly collect personal information from children under 18. If we learn that we have collected any personal information from children under 18, we will promptly take steps to delete such information. If you are aware that a child has submitted us such information, please contact us using the details provided below.Changes to this NoticeDatabricks may change this Privacy Notice from time to time. We will post any changes on this page and, if we make material changes, provide a more prominent notice (for example, by adding a statement to the website landing page, providing notice through the Platform Services login screen, or by emailing you). You can see the date on which the latest version of this Privacy Notice was posted below. If you disagree with any changes to this Privacy Notice, you should stop using the Databricks Services and deactivate your Databricks account. How to Contact UsPlease contact us at [email protected] if you have any questions about our privacy practices or this Privacy Notice. You can also write to us at Databricks Inc., 160 Spear Street, Suite 1300, San Francisco, CA 94105 Attn: Privacy.If you interact with Databricks through or on behalf of your organization, then your personal information may also be subject to your organization’s privacy practices and you should direct any questions to that organization.Last updated: January 3, 2023ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/br/company/leadership-team
Equipe de liderança | DatabricksSkip to main contentPlataformaDatabricks Lakehouse PlatformDelta LakeGovernança de dadosData EngineeringStreaming de dadosArmazenamento de dadosData SharingMachine LearningData SciencePreçosMarketplaceTecnologia de código abertoCentro de segurança e confiançaWEBINAR Maio 18 / 8 AM PT Adeus, Data Warehouse. Olá, Lakehouse. Participe para entender como um data lakehouse se encaixa em sua pilha de dados moderna. Inscreva-se agoraSoluçõesSoluções por setorServiços financeirosSaúde e ciências da vidaProdução industrialComunicações, mídia e entretenimentoSetor públicoVarejoVer todos os setoresSoluções por caso de usoAceleradores de soluçãoServiços profissionaisNegócios nativos digitaisMigração da plataforma de dados9 de maio | 8h PT   Descubra a Lakehouse para Manufatura Saiba como a Corning está tomando decisões críticas que minimizam as inspeções manuais, reduzem os custos de envio e aumentam a satisfação do cliente.Inscreva-se hojeAprenderDocumentaçãoTreinamento e certificaçãoDemosRecursosComunidade onlineAliança com universidadesEventosData+AI SummitBlogLaboratóriosBeaconsA maior conferência de dados, análises e IA do mundo retorna a São Francisco, de 26 a 29 de junho. ParticipeClientesParceirosParceiros de nuvemAWSAzureGoogle CloudConexão de parceirosParceiros de tecnologia e dadosPrograma de parceiros de tecnologiaPrograma de parceiros de dadosBuilt on Databricks Partner ProgramParceiros de consultoria e ISPrograma de parceiros de C&ISSoluções para parceirosConecte-se com apenas alguns cliques a soluções de parceiros validadas.Saiba maisEmpresaCarreiras em DatabricksNossa equipeConselho de AdministraçãoBlog da empresaImprensaDatabricks VenturesPrêmios e reconhecimentoEntre em contatoVeja por que o Gartner nomeou a Databricks como líder pelo segundo ano consecutivoObtenha o relatórioExperimente DatabricksAssista às DemosEntre em contatoInício de sessãoJUNE 26-29REGISTER NOWLiderançaCom uma visão de longo prazo, nossa equipe de liderança conta com décadas de experiência para traçar um novo curso para dados e IAConheça nossa equipeEquipe executivaEquipe fundadoraConselho de AdministraçãoAli GhodsiCofundador e diretor executivoAndy KofoidPresidente de Global Field OperationsDavid ConteDiretor financeiroAmy ReichanadterDiretora de pessoasTrâm PhiVice-presidente sênior e conselheira geralRon GabriskoDiretor de receitaRick SchultzDiretor de marketingHatim ShafiqueDiretor de operaçõesFermín SernaDiretor de segurançaNaveen ZutshiDiretor de informaçõesVinod MarurVice-presidente sênior de engenhariaDavid MeyerVice-presidente sênior de produtosAdam ConwayVice-presidente sênior de produtosArsalan Tavakoli-ShirajiCofundador e SVP de Engenharia de CampoProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineSoluçõesPor setorServiços profissionaisSoluçõesPor setorServiços profissionaisEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoSee Careers at DatabricksMundialEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Aviso de privacidade|Termos de Uso|Suas opções de privacidade|Seus direitos de privacidade na Califórnia
https://www.databricks.com/br/professional-services
Serviços profissionais Databricks | DatabricksSkip to main contentPlataformaDatabricks Lakehouse PlatformDelta LakeGovernança de dadosData EngineeringStreaming de dadosArmazenamento de dadosData SharingMachine LearningData SciencePreçosMarketplaceTecnologia de código abertoCentro de segurança e confiançaWEBINAR Maio 18 / 8 AM PT Adeus, Data Warehouse. Olá, Lakehouse. Participe para entender como um data lakehouse se encaixa em sua pilha de dados moderna. Inscreva-se agoraSoluçõesSoluções por setorServiços financeirosSaúde e ciências da vidaProdução industrialComunicações, mídia e entretenimentoSetor públicoVarejoVer todos os setoresSoluções por caso de usoAceleradores de soluçãoServiços profissionaisNegócios nativos digitaisMigração da plataforma de dados9 de maio | 8h PT   Descubra a Lakehouse para Manufatura Saiba como a Corning está tomando decisões críticas que minimizam as inspeções manuais, reduzem os custos de envio e aumentam a satisfação do cliente.Inscreva-se hojeAprenderDocumentaçãoTreinamento e certificaçãoDemosRecursosComunidade onlineAliança com universidadesEventosData+AI SummitBlogLaboratóriosBeaconsA maior conferência de dados, análises e IA do mundo retorna a São Francisco, de 26 a 29 de junho. ParticipeClientesParceirosParceiros de nuvemAWSAzureGoogle CloudConexão de parceirosParceiros de tecnologia e dadosPrograma de parceiros de tecnologiaPrograma de parceiros de dadosBuilt on Databricks Partner ProgramParceiros de consultoria e ISPrograma de parceiros de C&ISSoluções para parceirosConecte-se com apenas alguns cliques a soluções de parceiros validadas.Saiba maisEmpresaCarreiras em DatabricksNossa equipeConselho de AdministraçãoBlog da empresaImprensaDatabricks VenturesPrêmios e reconhecimentoEntre em contatoVeja por que o Gartner nomeou a Databricks como líder pelo segundo ano consecutivoObtenha o relatórioExperimente DatabricksAssista às DemosEntre em contatoInício de sessãoJUNE 26-29REGISTER NOWServiços profissionais DatabricksEntre em contato conosco para obter mais informaçõesGaranta o rápido sucesso dos seus projetos graças à experiência avançada em data engineering, data science e gerenciamento de projetos. Os serviços profissionais Databricks oferecem suporte na sua jornada de dados e IA:BenefíciosAcelere sua jornada de dados e IA Nossas ofertas e serviços especializados auxiliam você em sua jornada de dados e IA para uma aceleração ideal e personalizada. Estamos envolvidos desde a integração inicial do seu workspace até o estabelecimento de práticas de DataOps e um Centro de Excelência em toda a empresa. Elimine os riscos do seu projeto Deseja migrar cargas de trabalho antigas para o Databricks, desenvolver novos produtos de dados ou projetos de pipeline de dados e IA e machine learning? Ficaremos felizes em acompanhar e aconselhar de forma a minimizar o risco e maximizar o valor em todas as fases da sua jornada. Operacionalização em escala A criação de um POC de pipeline de dados ou desenvolvimento de modelo de nó único é relativamente fácil de gerenciar. O desafio está em adotar e dimensionar práticas de dados e IA com sucesso em toda a organização. Podemos ajudar você a atingir essa meta ambiciosa com nossa experiência e ofertas baseadas em padrões. OfertasGaranta o rápido sucesso dos seus projetos graças à experiência avançada em data engineering, data science e gerenciamento de projetosInicialização rápidaAcelere o planejamento do seu projeto familiarizando-se com a plataforma Databricks e seus principais recursos que aplicam as práticas recomendadas.Migração do HadoopNossa abordagem prescritiva maximiza o valor dos seus investimentos existentes em dados e pipelines, garantindo uma migração tranquila.Desenvolvimento do lakehouseAcelere a implementação de uma plataforma simplificada para análise de dados, data science e ML, estabelecendo as bases para sua visão de lakehouse.Machine LearningCapacite as iniciativas de ML da sua empresa e sua adoção com nossa metodologia prescritiva.Acelerador de serviços compartilhadosAcelere seu modelo operacional em escala empresarial para impulsionar a excelência em dados e IA com nossa metodologia prescritiva.Serviços personalizadosEntre em contato conosco para obter uma especificação sob medida que atenda às suas necessidades.Nossos especialistas em serviços profissionais entregaram com sucesso projetos de ciclo de vida completo para atender a requisitos complexos, altamente específicos e direcionados.Arquitetos de soluções residentes | data scientistsRecursos técnicos e altamente experientes, com fortes habilidades de liderança e consultoria. Para garantir seu sucesso, aproveitamos nosso amplo ecossistema de parceiros e, se necessário, fornecemos serviços conjuntos com eles.Especialistas em Databricks e Spark10 anos de experiência Sólida experiência em big data Habilidades práticas de implementação Planejamento e execução de projetoAuxiliar com design e arquitetura Ajudar a alinhar o projeto com os recursos da plataforma Contribuir para o cronograma do projeto e requisitos de recursos Planejamento de implementação e produçãoArquitetar soluções para escalabilidade Auxiliar no desenvolvimento de protótipos Atender aos requisitos de integração do DevOps Auxílio na implementação de um COEDesenvolver padrões e estruturas comuns Estar disponível como um recurso para várias equipes Facilitar as interações com outras equipes do Databricks RecursosVisão geral do programa de crédito de sucessoFormulário de Solicitação de ResgatePor que Databricks AcademyAs pessoas estão no centro do sucesso do cliente. Com o treinamento e as certificações da Databricks Academy, você aprenderá a dominar a análise de dados com a equipe que lançou o projeto de pesquisa Spark na UC Berkeley. Avance mais rápido com a Databricks Academy.Aprimore suas habilidades agoraTudo pronto para começar?Entre em contatoProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineSoluçõesPor setorServiços profissionaisSoluçõesPor setorServiços profissionaisEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoSee Careers at DatabricksMundialEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Aviso de privacidade|Termos de Uso|Suas opções de privacidade|Seus direitos de privacidade na Califórnia
https://www.databricks.com/explore/de-data-warehousing/big-book-of-data-engineering
Big Book of Data Engineering Use Cases | Databricks Thumbnails Document Outline Attachments Layers Current Outline Item Previous Next Highlight All Match Case Match Diacritics Whole Words Color Size Color Thickness Opacity Presentation Mode Open Print Download Current View Go to First Page Go to Last Page Rotate Clockwise Rotate Counterclockwise Text Selection Tool Hand Tool Page Scrolling Vertical Scrolling Horizontal Scrolling Wrapped Scrolling No Spreads Odd Spreads Even Spreads Document Properties… Toggle Sidebar Find Previous Next Presentation Mode Open Print Download Current View FreeText Annotation Ink Annotation Tools Zoom Out Zoom In Automatic Zoom Actual Size Page Fit Page Width 50% 75% 100% 125% 150% 200% 300% 400% More Information Less Information Close Enter the password to open this PDF file: Cancel OK File name: - File size: - Title: - Author: - Subject: - Keywords: - Creation Date: - Modification Date: - Creator: - PDF Producer: - PDF Version: - Page Count: - Page Size: - Fast Web View: - Close Preparing document for printing… 0% Cancel
https://www.databricks.com/dataaisummit/speaker/alexander-vanadio/#
Alexander Vanadio - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingAlexander VanadioPrincipal Consultant at OptivBack to speakersAlex has studied Computer Science at the University of Maryland, College Park. He has been doing some combination of software engineering, data engineering, and ML engineering for over 15 years. Most recently, he has been working on PB scale streaming workloads for a Fortune 500 company.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/company/careers/open-positions?department=it
Current job openings at Databricks | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOW OverviewCultureBenefitsDiversityStudents & new gradsCurrent job openings at DatabricksDepartmentLocationProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/dataaisummit/speaker/srinivasa-kanamatha
Srinivasa Kanamatha - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingSrinivasa KanamathaSenior Manager at BlackBerryBack to speakersSrinivasa have worked in the cybersecurity industry for over 13 years. His primary focus have always been in Data Engineering.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/matthew-powers/#
Matthew Powers - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingMatthew PowersDeveloper Advocate at DatabricksBack to speakersMatthew is a Developer Advocate for Databricks on the Delta Lake team. He's a longtime Spark blogger (mungingdata.com) and Spark open-source contributor. His project include quinn, chispa, spark-daria, spark-fast-tests, and the spark-style-guide. He's passionate about Spark, Delta Lake, traveling, and learning languages.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/jp/company/partners/data-partner-program
データパートナープログラム | DatabricksSkip to main contentプラットフォームデータブリックスのレイクハウスプラットフォームDelta Lakeデータガバナンスデータエンジニアリングデータストリーミングデータウェアハウスデータ共有機械学習データサイエンス料金Marketplaceオープンソーステクノロジーセキュリティ&トラストセンターウェビナー 5 月 18 日午前 8 時 PT さようなら、データウェアハウス。こんにちは、レイクハウス。 データレイクハウスが最新のデータスタックにどのように適合するかを理解するために出席してください。 今すぐ登録ソリューション業種別のソリューション金融サービス医療・ライフサイエンス製造通信、メディア・エンターテイメント公共機関小売・消費財全ての業界を見るユースケース別ソリューションソリューションアクセラレータプロフェッショナルサービスデジタルネイティブビジネスデータプラットフォームの移行5月9日 |午前8時(太平洋標準時)   製造業のためのレイクハウスを発見する コーニングが、手作業による検査を最小限に抑え、輸送コストを削減し、顧客満足度を高める重要な意思決定をどのように行っているかをご覧ください。今すぐ登録学習ドキュメントトレーニング・認定デモ関連リソースオンラインコミュニティ大学との連携イベントDATA+AI サミットブログラボBeacons2023年6月26日~29日 直接参加するか、基調講演のライブストリームに参加してくださいご登録導入事例パートナークラウドパートナーAWSAzureGoogle CloudPartner Connect技術・データパートナー技術パートナープログラムデータパートナープログラムBuilt on Databricks Partner ProgramSI コンサルティングパートナーC&SI パートナーパートナーソリューションDatabricks 認定のパートナーソリューションをご利用いただけます。詳しく見る会社情報採用情報経営陣取締役会Databricks ブログニュースルームDatabricks Ventures受賞歴と業界評価ご相談・お問い合わせDatabricks は、ガートナーのマジック・クアドラントで 2 年連続でリーダーに位置付けられています。レポートをダウンロードDatabricks 無料トライアルデモを見るご相談・お問い合わせログインJUNE 26-29REGISTER NOWデータプロバイターパートナープログラムDatabricks との連携でデータ活用のための広範でオープンなエコシステムへのアクセスを可能にお問い合わせDatabricks のデータプロバイダパートナーは、データコンシューマーの大規模でオープンなエコシステムに単一のプラットフォームでアクセスして、データ資産を収益化できます。パートナーは、Databricks のレイクハウスプラットフォームにより、顧客リーチ数の増大、コススト削減、データ共有のニーズにクラス最高のエクスペリエンスを実現できます。データプロバイダパートナーのメリット顧客リーチ数の増加オープンかつセキュアなプラットフォームであらゆるデータコンシューマーからのリーチの獲得を拡大できます。優れた顧客体験データコンシューマーの設定とアクティブ化の時間を短縮します。マーケティング支援Databricks のマーケティングサポートにより露出の拡大を図れます。データ製品のためのテクノロジーデータ・分析・AI の市場をリードするレイクハウスプラットフォームを利用できます。製品、R&D 部門による支援Databricks の製品、エンジニアリング、サポートスタッフにアクセスできます。業種別ソリューション当社の業界チームと協力し、お客様のユースケースに合わせて設計された業界特化型のソリューションを構築します 。データプロバイダのための Delta SharingDatabricks は、世界初のオープンプロトコルである Delta Sharing とネイティブに統合しているため、データが格納されているプラットフォームに依存せず、組織間でリアルタイムかつセキュアにデータを共有できます。Delta Sharing は、幅広いエコシステムに活用されていますオープンソースのクライアント法人・企業BI分析ガバナンスデータベンダー無料お試し・その他ご相談を承りますお問い合わせパートナーを見つける製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ製品プラットフォーム料金オープンソーステクノロジーDatabricks 無料トライアルデモ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティ学習・サポートドキュメント用語集トレーニング・認定ヘルプセンター法務オンラインコミュニティソリューション業種別プロフェッショナルサービスソリューション業種別プロフェッショナルサービス会社情報会社概要採用情報ダイバーシティ&インクルージョンDatabricks ブログご相談・お問い合わせ会社情報会社概要採用情報ダイバーシティ&インクルージョンDatabricks ブログご相談・お問い合わせ採用情報言語地域English (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.プライバシー通知|利用規約|プライバシー設定|カリフォルニア州のプライバシー権利
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SAP Migration Accelerator by DataSentics and DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWBrickbuilder SolutionSAP Migration Accelerator by DataSenticsMigration solution developed by DataSentics and powered by the Databricks Lakehouse PlatformLearn moreMigrate 6,000 tables in just 6 monthsDataSentics has developed the ODAP Accelerator to help you migrate over 6,000 tables from SAP Business Warehouse and S/4 Hana in less than 6 months with only limited need for human resources. To accelerate and validate the migration process, the ODAP Accelerator has tooling for semi-automated data reconciliation. And once migrated, the client’s data is immediately used for creating dashboards and advanced ML-based use cases. Data can be ingested and processed in both batch and near real-time (Spark Streaming), and new data sets can be onboarded easily and at scale.The ODAP Accelerator greatly simplifies the creation and management of business logic transformations, quality rules, enforcement and data masking to achieve GDPR compliance. Moreover, the accelerator contains mature tooling for building a fine-grained data governance model, as well as access management with automatically created views. With the DataSentics ODAP Accelerator, you can:Migrate more than 6,000 tables in less than 6 monthsGet near real-time insights and ensure compliant access to all dataLeverage new data structures for ML-based use casesLearn moreDeliver AI innovation faster with solution accelerators for popular industry use cases. See our full library of solutions ➞ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/dataaisummit/speaker/leo-duncan/#
Leo Duncan - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingLeo DuncanSr. Solutions Architect at Kyvos Insights Inc.Back to speakersLeo Duncan is a Senior Solutions Architect at Kyvos Insights Inc. With over 18 years of analytics experience, he has designed and developed game-changing BI solutions for some of the world's most recognized brands. Leo's innovative approach and strategic vision have earned him a reputation as an analytics genius, empowering organizations to make informed, data-driven decisions.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
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Data and AI Summit 2023 - DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingGeneration AILarge Language Models (LLM) are taking AI mainstream. Join the premier event for the global data community to understand their potential and shape the future of your industry with data and AI. Register NowSan Francisco, Moscone CenterJune 26 - 29, 2023Featured SpeakersTop experts, researchers and open source contributors from Databricks and across the data and AI community will speak at Data + AI Summit. Whether you’re an engineering wizard, ML pro, SQL expert — or you want to learn how to build, train and deploy LLMs — you’ll be in good company. See all speakersDaniela RusDirector, MIT CSAIL; Professor of EECS, MITPercy LiangProfessor of Computer Science, StanfordNat FriedmanCreator of Copilot; Former CEO, GitHubMichael CarbinCo-founder, MosaicML; Professor of EECS, MITKasey UhlenhuthStaff Product Manager, DatabricksWassym BensaidSr. Vice President, Software Development, RivianEric SchmidtCo-Founder, Schmidt Futures; Former CEO and Chairman, GoogleAdi PolakData & AI Technologist, lakeFSAli GhodsiCo-founder and CEO, DatabricksManu SharmaCEO, LabelboxMatei ZahariaOriginal Creator of Apache Spark™ and MLflow; Chief Technologist, DatabricksLin QiaoCo-creator of PyTorch, Co-founder and CEO, FireworksSai RavuruSenior Manager of Data Science & Analytics, Jet BlueEmad MostaqueCEO, Stability.AIHarrison ChaseCreator of LangChainSatya NadellaChairman and CEO, Microsoft, Live Virtual GuestZaheera ValaniSenior Director of Engineering, DatabricksHannes MühleisenCreator of DuckDBBrooke WenigMachine Learning Practice Lead, DatabricksJitendra MalikComputer Vision Pioneer, Former Head of Facebook AI ResearchRobin SutaraField CTO, DatabricksLior GavishCEO and Co-founder, Monte Carlo DataDawn SongProfessor of EECS, UC BerkeleyReynold XinCo-founder and Chief Architect, DatabricksDaniela RusDirector, MIT CSAIL; Professor of EECS, MITPercy LiangProfessor of Computer Science, StanfordNat FriedmanCreator of Copilot; Former CEO, GitHubMichael CarbinCo-founder, MosaicML; Professor of EECS, MITKasey UhlenhuthStaff Product Manager, DatabricksWassym BensaidSr. Vice President, Software Development, RivianEric SchmidtCo-Founder, Schmidt Futures; Former CEO and Chairman, GoogleAdi PolakData & AI Technologist, lakeFSAli GhodsiCo-founder and CEO, DatabricksManu SharmaCEO, LabelboxMatei ZahariaOriginal Creator of Apache Spark™ and MLflow; Chief Technologist, DatabricksLin QiaoCo-creator of PyTorch, Co-founder and CEO, FireworksSai RavuruSenior Manager of Data Science & Analytics, Jet BlueEmad MostaqueCEO, Stability.AIHarrison ChaseCreator of LangChainSatya NadellaChairman and CEO, Microsoft, Live Virtual GuestZaheera ValaniSenior Director of Engineering, DatabricksHannes MühleisenCreator of DuckDBBrooke WenigMachine Learning Practice Lead, DatabricksJitendra MalikComputer Vision Pioneer, Former Head of Facebook AI ResearchRobin SutaraField CTO, DatabricksLior GavishCEO and Co-founder, Monte Carlo DataDawn SongProfessor of EECS, UC BerkeleyReynold XinCo-founder and Chief Architect, DatabricksDaniela RusDirector, MIT CSAIL; Professor of EECS, MITPercy LiangProfessor of Computer Science, StanfordNat FriedmanCreator of Copilot; Former CEO, GitHubMichael CarbinCo-founder, MosaicML; Professor of EECS, MITKasey UhlenhuthStaff Product Manager, DatabricksWassym BensaidSr. Vice President, Software Development, RivianEric SchmidtCo-Founder, Schmidt Futures; Former CEO and Chairman, GoogleWhy attend?Join thousands of data leaders, engineers, scientists and analysts to explore all things data, analytics and AI — and how these are unified on the lakehouse. Hear from the data teams who are transforming their industries. Learn how to build and apply LLMs to your business. Uplevel your skills with hands-on training and role-based certifications. Connect with data professionals from around the world and learn more about all Data + AI Summit has to offer. SessionsWith more than 250 sessions, Data + AI Summit has something for everyone. Choose from technical deep dives, hands-on training, lightning talks, industry sessions, and more. Explore sessionsTechnologyExplore the latest advances in leading open source projects and industry technologies like Apache Spark™, Delta Lake, MLflow, Dolly, PyTorch, dbt, Presto/Trino, DuckDB and much more. You’ll also get a first look at new products and features in the Databricks Lakehouse Platform. Browse catalogNetworkingConnect with thousands of data + AI community peers and grow your professional network in social meetups, on the expo floor, or at our event party. Learn moreChoose your experienceGet access to all the sessions, training, and special events live in San Francisco or join us virtually for the keynotes.RECOMMENDEDActivitiesIn Person EventVirtual EventKeynotesBreakout Sessions300+10Hands-on Training Courses for Data Engineering, Machine Learning, LLMs, and many onsite certificationsConnect with other data pros at “birds of a feather” meals, happy hours and special eventsLightning talks, AMAs and meetups on topics such as Apache Spark™, Delta Lake, MLflow and DollyAccess to 100+ leading data and AI companies in Dev Hub + ExpoIndustry Forums for Financial Services, Retail and Consumer Goods, Healthcare and Life Sciences, Communications, Media and Entertainment, Public Sector, and Manufacturing and EnergySee pricingTrusted by the data communityHear data practitioners from trusted companies all over the world See agendaDon’t miss this year’s event!Register nowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/wassym-bensaid/#
Wassym Bensaid - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingWassym BensaidSr. Vice President, Software Development at RivianBack to speakersLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
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학습 | DatabricksSkip to main content플랫폼Databricks 레이크하우스 플랫폼Delta Lake데이터 거버넌스데이터 엔지니어링데이터 스트리밍데이터 웨어하우징데이터 공유머신 러닝데이터 사이언스가격Marketplace오픈 소스 기술보안 및 신뢰 센터웨비나 5월 18일 / 오전 8시(태평양 표준시) 안녕, 데이터 웨어하우스. 안녕하세요, 레이크하우스입니다. 데이터 레이크하우스가 최신 데이터 스택에 어떻게 부합하는지 이해하려면 참석하십시오. 지금 등록하세요솔루션산업별 솔루션금융 서비스의료 서비스 및 생명 공학제조커뮤니케이션, 미디어 및 엔터테인먼트공공 부문리테일모든 산업 보기사용 사례별 솔루션솔루션 액셀러레이터프로페셔널 서비스디지털 네이티브 비즈니스데이터 플랫폼 마이그레이션5월 9일 | 오전 8시(태평양 표준시)   제조업을 위한 레이크하우스 살펴보기 코닝이 수동 검사를 최소화하고 운송 비용을 절감하며 고객 만족도를 높이는 중요한 결정을 내리는 방법을 들어보십시오.지금 등록하세요학습관련 문서교육 및 인증데모리소스온라인 커뮤니티University Alliance이벤트Data + AI Summit블로그LabsBeacons2023년 6월 26일~29일 직접 참석하거나 키노트 라이브스트림을 시청하세요.지금 등록하기고객파트너클라우드 파트너AWSAzureGoogle CloudPartner Connect기술 및 데이터 파트너기술 파트너 프로그램데이터 파트너 프로그램Built on Databricks Partner Program컨설팅 & SI 파트너C&SI 파트너 프로그램파트너 솔루션클릭 몇 번만으로 검증된 파트너 솔루션과 연결됩니다.자세히회사Databricks 채용Databricks 팀이사회회사 블로그보도 자료Databricks 벤처수상 실적문의처Gartner가 Databricks를 2년 연속 리더로 선정한 이유 알아보기보고서 받기Databricks 이용해 보기데모 보기문의처로그인JUNE 26-29REGISTER NOW학습바로 사용할 수 있는 Databricks 리소스의 - 세계를 본격적으로 탐구해보세요. 교육, 인증과 예정된 이벤트, 유용한 문서 등 다양한 리소스가 준비되어있습니다.Databricks 시작하기기초 배우기Databricks 레이크하우스 플랫폼을 사용하면 데이터 파이프라인을 간편하게 빌드하고 실행하며 데이터 사이언스 및 분석 프로젝트에서 원활하게 협업을 진행하고, 머신 러닝 모델도 빌드하여 배포할 수 있습니다. 아래의 시작하기 가이드를 참조하세요.Databricks를 처음 사용하시나요? 경험이 풍부한 고객 성공 엔지니어의 안내를 받아 Databricks와의 여정을 시작해 보세요.Databricks 온보딩 Lakehouse Fundamentals Training Watch 4 short videos, take the quiz and get your badge to share on LinkedIn or your résumé Get started데이터 사이언스와 엔지니어링Databricks 관리자SQL 분석머신 러닝교육Databricks Academy에서 교육을 받아 보세요. UC 버클리에서 Apache Spark™️ 연구 프로젝트를 시작한 팀으로부터 직접 데이터 분석을 정복하는 법을 배워볼 수 있습니다.Databricks Academy인증인증 시험에서는 Databricks 레이크하우스 플랫폼에 대한 지식과 우수한 프로젝트를 성공적으로 구현하는 데 필요한 방법을 얼마나 잘 알고 있는지 평가합니다. 이는 업계에서 인정받고 경쟁력 있는 차별화를 꾀하고, 생산성과 성과를 높이며, 교육 투자에 대한 실질적 평가를 얻는 데 도움이 됩니다.Databricks 인증질문에 대한 답변 듣기다음의 방법 중에서 선택하면 시작하면서 궁금했던 질문에 대한 답을 얻을 수 있습니다.Databricks 기술 전문가 라이브에 질문온라인 커뮤니티Databricks 커뮤니티 내에서 거론되는 인기 주제를 알아보세요.커뮤니티에 연결인기 포럼 주제databricksDelta LakeSparksqlPySparkAzureAWSGCP도움이 필요하신가요?지원 계약을 맺었거나 지원 계약이 관심이 있으시다면 아래의 옵션을 확인해 보세요. 전략적 비즈니스 지침(고객 성공 엔지니어 또는 전문 서비스 계약)의 경우, 업무 공간 관리자에게 Databricks 계정 임원과의 연결을 문의하세요.지원 옵션 확인하기노트북 갤러리이 갤러리에는 기술과 사용 사례에 주안점을 두고 노트북이 제공하는 다양한 가능성 중 몇 가지 대표적인 예시를 담았습니다. 사용자의 Databricks 환경이나 무료 커뮤니티 에디션에 간편하게 가져와서 사용하면 됩니다.Databricks 노트북 갤러리관련 문서Databricks 기술 문서 사이트에는 Databricks 데이터 사이언스와 엔지니어링, Databricks 머신 러닝과 Databricks SQL 사용자 기반 환경에 관한 노하우(how-to) 지침과 참조 정보가 기재되어 있습니다.AWS 관련 문서Azure 관련 문서Google 관련 문서Databricks 이벤트와 커뮤니티Data + AI Summit키노트, 제품 출시 발표는 물론 200여 가지 기술 세션에 함께하세요. 업계와 학계, 연구진을 아우르는 전문가 팀이 진행합니다.자세히글로벌 이벤트글로벌, 지역별 콘퍼런스, 실시간 제품 데모, 웨비나, 협력사에서 후원하는 이벤트나 모임 등에 자리를 예약하세요.자세히데이터 + AI 온라인 모임세계 각지의 Databricks 모임 그룹에서는 무슨 일이 벌어지고 있는지 알아보고, 가까운 곳의(먼 곳도 괜찮고) 모임에 참석하세요. 모두 가상으로 진행됩니다.자세히Beacons데이터 및 AI 커뮤니티를 활성화하기 위해 특별한 노력을 기울이는 커뮤니티 회원들로 구성된 그룹인 Databricks Beacons를 소개합니다.자세히University AllianceDatabricks University Alliance에서 Databricks를 사용하여 교육하고자 하는 교육자를 위한 무료 리소스에 액세스할 수 있습니다.자세히Data Brew Vidcast전문가와 함께 데이터 + AI 알아보기Brooke Wenig, Denny Lee동영상 시리즈온라인 Tech Talks와 모임Brooke Wenig, Denny Lee테크 토크MLflow를 사용한 완벽한 머신 러닝 수명 주기 관리줄스 담지테크 토크Delta Lake 시작하기데니 리테크 토크Delta Lake 심층 탐구(고급)데니 리Databricks 데모 허브(제품 데모)데이터 + AI 연구마테이 자하리아공동 창업자 겸 Chief Technologistdatabricks레이놀드 신공동 창업자 겸 Chief ArchitectdatabricksSue Ann Hong소프트웨어 엔지니어databricksDatabricks 창업자, 스태프와 연구진이 분산형 시스템, AI 및 데이터 분석 등을 주제로 UC 버클리와 스탠퍼드 등 명문 대학교와 협업해 저술하여 최근 공개한 논문을 읽어보세요.연구에 액세스제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티솔루션산업 기준프로페셔널 서비스솔루션산업 기준프로페셔널 서비스회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처Databricks 채용 확인하기WorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark 및 Spark 로고는 Apache Software Foundation의 상표입니다.개인 정보 보호 고지|이용약관|귀하의 개인 정보 선택|귀하의 캘리포니아 프라이버시 권리
https://www.databricks.com/dataaisummit/speaker/basak-eskili/#
Basak Eskili - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingBasak EskiliML Engineer at Ahold DelhaizeBack to speakersBasak Eskili is a Machine Learning Engineer at Ahold Delhaize. She is working on creating new tools and infrastructure that enable data scientists to quickly operationalise algorithms. She is bridging the gap between data scientists and platform engineers while improving the way of working in accordance with MLOps principles, and ensuring that the models are reliable, scalable, and secure.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
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Entre em contato conosco - DatabricksSkip to main contentPlataformaDatabricks Lakehouse PlatformDelta LakeGovernança de dadosData EngineeringStreaming de dadosArmazenamento de dadosData SharingMachine LearningData SciencePreçosMarketplaceTecnologia de código abertoCentro de segurança e confiançaWEBINAR Maio 18 / 8 AM PT Adeus, Data Warehouse. Olá, Lakehouse. Participe para entender como um data lakehouse se encaixa em sua pilha de dados moderna. Inscreva-se agoraSoluçõesSoluções por setorServiços financeirosSaúde e ciências da vidaProdução industrialComunicações, mídia e entretenimentoSetor públicoVarejoVer todos os setoresSoluções por caso de usoAceleradores de soluçãoServiços profissionaisNegócios nativos digitaisMigração da plataforma de dados9 de maio | 8h PT   Descubra a Lakehouse para Manufatura Saiba como a Corning está tomando decisões críticas que minimizam as inspeções manuais, reduzem os custos de envio e aumentam a satisfação do cliente.Inscreva-se hojeAprenderDocumentaçãoTreinamento e certificaçãoDemosRecursosComunidade onlineAliança com universidadesEventosData+AI SummitBlogLaboratóriosBeaconsA maior conferência de dados, análises e IA do mundo retorna a São Francisco, de 26 a 29 de junho. ParticipeClientesParceirosParceiros de nuvemAWSAzureGoogle CloudConexão de parceirosParceiros de tecnologia e dadosPrograma de parceiros de tecnologiaPrograma de parceiros de dadosBuilt on Databricks Partner ProgramParceiros de consultoria e ISPrograma de parceiros de C&ISSoluções para parceirosConecte-se com apenas alguns cliques a soluções de parceiros validadas.Saiba maisEmpresaCarreiras em DatabricksNossa equipeConselho de AdministraçãoBlog da empresaImprensaDatabricks VenturesPrêmios e reconhecimentoEntre em contatoVeja por que o Gartner nomeou a Databricks como líder pelo segundo ano consecutivoObtenha o relatórioExperimente DatabricksAssista às DemosEntre em contatoInício de sessãoJUNE 26-29REGISTER NOWEntre em contatoVocê precisa de ajuda com o treinamento ou suporte? Consulte estes recursos adicionais.DocumentaçãoLeia a documentação técnica para Databricks na AWS, Azure ou Google CloudComunidade do DatabricksDiscuta, compartilhe e interaja com especialistas e usuários da DatabricksTreinamentoTorne-se especialista na Databricks Lakehouse Platform com um treinamento conduzido por instrutor ou individualizado. Você também pode se tornar um desenvolvedor certificadoSuporteJá é cliente? Clique aqui se tiver um problema técnico ou de pagamentoNossos escritóriosDescubra todos os nossos escritórios ao redor do mundo e entre em contato conoscoBase de conhecimentoEncontre respostas rápidas para as perguntas frequentes sobre produtos e serviços da DatabricksProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineSoluçõesPor setorServiços profissionaisSoluçõesPor setorServiços profissionaisEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoSee Careers at DatabricksMundialEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Aviso de privacidade|Termos de Uso|Suas opções de privacidade|Seus direitos de privacidade na Califórnia
https://www.databricks.com/dataaisummit/speaker/vinit-doshi/#
Vinit Doshi - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingVinit DoshiSenior Manager at TredenceBack to speakersVinit Doshi leads the MLOps delivery practice at Tredence, He has over 14 years of experience in building and managing ML solutions with a focus on building scalable MLOPs practices for clients over the past 3 years.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/customers/abn-amro
Customer Story: ABN AMRO | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWCUSTOMER STORYFinancial services digital transformation at a global scale‌10xFaster time to market — use cases deployed in 2 months100+Use cases to be delivered over the coming year500+Empowered business and IT usersRead story INDUSTRY: Financial services SOLUTION: Customer segmentation,data-driven ESG,fraud detection,risk management,threat detection PLATFORM USE CASE: Lakehouse,Delta Lake,data science,machine learning,Databricks SQL,ETL CLOUD: Azure“Databricks has provided one platform for our data and analytics teams to access and share data across ABN AMRO, delivering ML-based solutions that drive automation and insight throughout the company.” – Stefan Groot, Head of Analytics Engineering, ABN AMROAs an established bank, ABN AMRO’s ability to modernize their business was hamstrung by legacy infrastructure and data warehouses that complicated access to data across various sources and created inefficient data processes and workflows. Today, Azure Databricks empowers ABN AMRO to democratize data and AI for a team of 500+ empowered engineers, scientists and analysts, who work collaboratively on improving business operations and introducing new go-to-market capabilities across the company.The impossibility of tackling new ambitions with old technologyOver the years, ABN AMRO has grown to become the third-largest bank in the Netherlands, generating a wealth of data with hundreds of terabytes of data across hundreds of disparate data sources — but their approach to data and analytics was far from where they needed it to be in order to realize their data-driven aspirations. Hampered by a centralized on-premises data warehouse and inefficient workflows, they struggled to transform into a truly digital bank that could realize the full potential of their data.“In order to capitalize on the opportunity in front of us, we needed the ability to harness the data at our disposal and work in a different way than we are used to,” explained Stefan Groot, the head of analytics engineering at ABN AMRO. “Our organization suffered from highly disparate teams working in isolation without true collaboration and sharing of best practices. Although people were communicating, they weren’t working together around data as a cohesive organization, which created mass inefficiencies.”Groot understood the importance of moving away from their traditional big data warehouse toward a domain-driven lakehouse and a data mesh approach where the creation and processing of data is federated across domains by using a proven, standardized platform.He also envisioned an InnerSource culture among the hundreds of data professionals in which everyone is working collaboratively and sharing data insights seamlessly to support business goals.A new mode of operation: Federating all data for all analyticsWith the goal of transforming the bank into a data-driven organization, ABN AMRO shifted toward the Azure cloud for ease of use and scalability and was able to operationalize the Databricks Lakehouse Platform within a couple months. With Databricks, they are now able to accelerate innovation by introducing data-driven solutions that improve strategic decision-making, operational efficiency, cybersecurity and the overall customer experience.Databricks eases access to multiple data sources and simplifies infrastructure management at any scale. Delta Lake allows ABN AMRO to create data pipelines that are not only fast but highly reliable — critical for analytics and the data science teams who rely on complete and accurate data for decision-making, analytics and model training.With data at their fingertips, ABN AMRO’s data analysts are now able to easily perform analytics and transform data to feed business reports and dashboards via PowerBI.The data scientists and machine learning engineers can also easily deploy models into production with MLflow. What used to be a highly disjointed and manual process filled with inefficiencies is now consistent and automated.Putting data into action: Banking digital transformation at scaleWith Databricks, including a new marketing automation stack, ABN AMRO is now able to react to customer preferences faster, allowing them to serve relevant product recommendations or deliver a relevant service to ensure satisfaction and reduce churn.Fraud detection is also a focal point for the bank. Through the use of machine learning, they can identify anomalous behavior to prevent fraudulent activity such as money laundering, which is a common means to fund terrorism around the world.Business operations is also an area that is greatly benefiting from data and AI. From a customer support perspective, Databricks powers a client dashboard that provides a complete view of the customer and all their assets and transactions in near real-time. This provides the insights their help desk and support teams need in an easy-to-consume format to better serve their customers. Additionally, they can monitor how many calls each support representative has made and identify opportunities to improve efficiencies and reduce operational costs.Unlocking data-driven opportunities faster and cost-efficientlyToday, ABN AMRO has flipped their data strategy on its head. Rather than technology being the problem, now it’s an enabler. Because of this paradigm shift, the data teams at ABN AMRO have been able to deliver nearly dozens of use cases across the business at lightning speeds — 10x faster than with their existing infrastructure. But that’s just the tip of the iceberg. Groot estimates that they’ve only delivered 5% of the total use cases they have on their road map, with over 100 additional use cases, and even more machine learning models, planned over the coming months.Most importantly, as the company grows so does the data team’s ability to grow and support the business. “We are a truly agile organization now,” expressed Stefan Boom, Solutions Architect at ABN AMRO. “There were things that weren’t even possible before. Now we have the flexibility and capability to do anything.”With Databricks playing a pivotal role in their data-driven decision-making, ABN AMRO has opened the floodgates to empower over 500 team members across data engineering, analytics, data science and the business to leverage data to experiment and build solutions that deliver on use cases across the organization.Looking ahead, Groot feels that in the coming year they will see exponential growth in models with 100+ additional use cases on the road map. Now that they have the technology stack, organizational structure and processes, and collaborative culture in place, they will be able to shift their focus and accelerate value creation across the enterprise.Ready to get started?Try Databricks for freeLearn more about our productTalk to an expertProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/fr/partnerconnect
Contact partenaires | DatabricksSkip to main contentPlateformeThe Databricks Lakehouse PlatformDelta LakeGouvernance des donnéesData EngineeringStreaming de donnéesEntreposage des donnéesPartage de donnéesMachine LearningData ScienceTarifsMarketplaceOpen source techCentre sécurité et confianceWEBINAIRE mai 18 / 8 AM PT Au revoir, entrepôt de données. Bonjour, Lakehouse. Assistez pour comprendre comment un data lakehouse s’intègre dans votre pile de données moderne. Inscrivez-vous maintenantSolutionsSolutions par secteurServices financiersSanté et sciences du vivantProduction industrielleCommunications, médias et divertissementSecteur publicVente au détailDécouvrez tous les secteurs d'activitéSolutions par cas d'utilisationSolution AcceleratorsServices professionnelsEntreprises digital-nativesMigration des plateformes de données9 mai | 8h PT   Découvrez le Lakehouse pour la fabrication Découvrez comment Corning prend des décisions critiques qui minimisent les inspections manuelles, réduisent les coûts d’expédition et augmentent la satisfaction des clients.Inscrivez-vous dès aujourd’huiApprendreDocumentationFORMATION ET CERTIFICATIONDémosRessourcesCommunauté en ligneUniversity AllianceÉvénementsSommet Data + IABlogLabosBeacons26-29 juin 2023 Assistez en personne ou connectez-vous pour le livestream du keynoteS'inscrireClientsPartenairesPartenaires cloudAWSAzureGoogle CloudContact partenairesPartenaires technologiques et de donnéesProgramme partenaires technologiquesProgramme Partenaire de donnéesBuilt on Databricks Partner ProgramPartenaires consulting et ISProgramme Partenaire C&SISolutions partenairesConnectez-vous en quelques clics à des solutions partenaires validées.En savoir plusEntrepriseOffres d'emploi chez DatabricksNotre équipeConseil d'administrationBlog de l'entreprisePresseDatabricks VenturesPrix et distinctionsNous contacterDécouvrez pourquoi Gartner a désigné Databricks comme leader pour la deuxième année consécutiveObtenir le rapportEssayer DatabricksRegarder les démosNous contacterLoginJUNE 26-29REGISTER NOWContact partenairesDécouvrez et intégrez facilement des solutions de données, d'analytique et d'IA avec votre lakehouse.Regarder les démosGrâce à Partner Connect, découvrez facilement les données, l'analytique et l'IA directement au sein de la plateforme Databricks et intégrez rapidement les outils que vous utilisez déjà actuellement. Avec Partner Connect, vous pouvez simplifier l'intégration des outils en quelques clics et étendre rapidement les capacités de votre lakehouse.Connectez vos données et vos outils d'IA au lakehouseConnectez facilement vos données et outils d'IA préférés au lakehouse et alimentez n'importe quel cas d'usage analytiqueDécouvrez des solutions de données et d'IA validées pour de nouveaux cas d'usageUn portail unique pour les solutions partenaires validées afin que vous puissiez créer votre prochaine application de données plus rapidement.Configuration en quelques clics grâce à des intégrations prédéfiniesPartner Connect simplifie vos intégrations en configurant automatiquement les ressources (y compris les clusters, les jetons et les fichiers de connexion) pour vous connecter aux solutions partenairesCommencez en tant que partenaireLes partenaires de Databricks sont idéalement positionnés pour fournir des insights d'analytique plus rapides aux clients. Tirez parti du développement et des ressources partenaires de Databricks pour développer votre activité aux côtés de notre plateforme ouverte et basée dans le cloud.Devenir partenaire« S'appuyant sur un partenariat de longue date, Partner Connect permet de concevoir une expérience intégrée entre nos entreprises et nos clients. Avec Partner Connect, nous proposons une expérience simplifiée qui permet aux milliers de clients de Databricks, qu'ils utilisent Fivetran aujourd'hui ou qu'ils nous découvrent par le biais de Partner Connect, de débloquer les informations au sein de leurs données, de découvrir davantage de cas d'usage en termes d'analytique et de tirer profit de la valeur du lakehouse plus rapidement en connectant facilement des centaines de sources de données à leur lakehouse. »— George Fraser, P-DG de FivetranDémosFivetranConnectez les données de plus de 180 applications populaires, y compris les applications SaaS (Salesforce, Google Analytics, etc.) dans le lakehousedbtCréer des transformations de données avec dbt Cloud et DatabricksPower BIMettez les avantages des performances et de la technologie Databricks Lakehouse au service de tous vos utilisateursTableauOffrez à tous les utilisateurs la puissance d'un data lakehouse pour l'analytique moderne en connectant Tableau Desktop à Databricks SQLRiverySimplifiez le parcours des données, de l'ingestion à la transformation, en passant par la livraison dans le Delta LakeLabelboxPréparez facilement des données non structurées pour l’IA et l’analyse dans le LakehouseProphecyCréez et déployez des pipelines Spark et Delta à l'aide d'une interface visuelle par « glisser-déposer »ArcionConnectez des sources de données au lakehouse à l'aide d'une plateforme de réplication basée sur CDCEssai gratuitRessourcesBlogFév 2023 - Annonce de nouvelles intégrations de partenaires dans Partner ConnectSept 2022 - Introduction de nouvelles intégrations de partenaires dans Partner ConnectJuin 2022 - Annonce de nouvelles intégrations de partenaires dans Partner ConnectCréez votre entreprise sur Databricks avec Partner ConnectDocumentationGuide de Databricks Partner ConnectVous voulez en savoir plus ?Tirez parti du développement et des ressources partenaires de Databricks pour développer votre activité aux côtés de notre plateforme ouverte et basée dans le cloud.Devenir partenaireNous contacterProduitPlatform OverviewTarifsOpen Source TechEssayer DatabricksDémoProduitPlatform OverviewTarifsOpen Source TechEssayer DatabricksDémoLearn & SupportDocumentationGlossaryFORMATION ET CERTIFICATIONHelp CenterLegalCommunauté en ligneLearn & SupportDocumentationGlossaryFORMATION ET CERTIFICATIONHelp CenterLegalCommunauté en ligneSolutionsBy IndustriesServices professionnelsSolutionsBy IndustriesServices professionnelsEntrepriseNous connaîtreOffres d'emploi chez DatabricksDiversité et inclusionBlog de l'entrepriseNous contacterEntrepriseNous connaîtreOffres d'emploi chez DatabricksDiversité et inclusionBlog de l'entrepriseNous contacterDécouvrez les offres d'emploi chez Databrickspays/régionsEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Avis de confidentialité|Conditions d'utilisation|Vos choix de confidentialité|Vos droits de confidentialité en Californie
https://www.databricks.com/dataaisummit/speaker/satya-nadella
Satya Nadella - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingSatya NadellaChairman and CEO at Microsoft, Live Virtual GuestBack to speakersSatya Nadella is Chairman and Chief Executive Officer of Microsoft. Before being named CEO in February 2014, Nadella held leadership roles in both enterprise and consumer businesses across the company. Joining Microsoft in 1992, he quickly became known as a leader who could span a breadth of technologies and businesses to transform some of Microsoft’s biggest product offerings. Most recently, Nadella was executive vice president of Microsoft’s Cloud and Enterprise group. In this role he led the transformation to the cloud infrastructure and services business, which outperformed the market and took share from competition. Previously, Nadella led R&D for the Online Services Division and was vice president of the Microsoft Business Division. Before joining Microsoft, Nadella was a member of the technology staff at Sun Microsystems. Originally from Hyderabad, India, Nadella lives in Bellevue, Washington, with his family. He earned a bachelor’s degree in electrical engineering from Mangalore University, a master’s degree in computer science from the University of Wisconsin – Milwaukee and a master’s degree in business administration from the University of Chicago. Nadella serves on the board of trustees to his alma mater the University of Chicago, as well as the Starbucks board of directors.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/test1-testcfp1102
Test1 TestCFP1102 - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingTest1 TestCFP1102 testBack to speakersLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/douglas-moore
Douglas Moore - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingDouglas MooreLead Specialist Solutions Architect at DatabricksBack to speakersSince 2011 Douglas Moore been making Big Data Analytics a lot easier for customers. His current role is that of an HLS Lead Specialist Solutions Architect with Databricks. Douglas brings a long tenure in enterprise data architecture and building data analytics platforms. Past roles have included: Solutions Architect, Data Architect, CTO, Engineer.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/glossary/real-time-retail
What is Real-Time Retail?PlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWReal-Time RetailAll>Real-Time RetailTry Databricks for freeGet StartedWhat is real-time data for Retail?Real-time retail is real-time access to data. Moving from batch-oriented access, analysis and compute will allow data to be “always on,” therefore driving accurate, timely decisions and business intelligence. Real-time use cases, such as demand forecasting, personalization, on-shelf availability, arrival time prediction and order picking and consolidation, provide value to the organization through improved supply chain agility, reduced cost to serve, optimized product availability, and stocking replenishment.Why is real-time data for Retail important?We witnessed the move to e-commerce and omni-channel commerce happen over the past 20 years, only to see consumer behaviors fundamentally shift once the COVID-19 pandemic occurred. In just 10 weeks, we witnessed a rate of change that took the previous 10 years to accomplish. As physical stores faced lockdown orders, consumers shifted purchasing to digital channels. Restaurants saw internal dining evaporate, while drive-thru and delivery skyrocketed. With the shift in dollars came other changes: increased fraud, shifting customer expectations, a higher volume of returns, and increased costs to serve customers curb-side service and delivery.Compounding consumer-led changes has been the recent volatility in supply chains. The greatest risk to retail and consumer goods for the next several years is volatility.Legacy business strategies were instantly outdated - demand forecasting predicted the wrong demand, customer preferences changed, which precipitated stock outages, hence retailer’s margins suffered. As consumers purchased in real-time, businesses had to shift their outdated data warehouse architectures to those that could run and respond in real-time - hence Lakehouse for Retail.What are the benefits of real-time access to data?Rapid data ingestion at scale makes advanced insights available across the value chain in real-time, reducing costs and minimizing errors. Retailers make mistakes when they make decisions without information. These mistakes can manifest in many ways, including some of the following: Underestimating demand leads to expedited shipping costs for rush deliveryIncorrectly predicting how much of an item to produce leads to excess carrying costs, missed sales, and higher wasteReacting to breakdowns leads to unplanned outages that disrupt full production cyclesOrder fulfillment with incomplete or inaccurate data leads to additional shipping costs or higher rates of returnMissing an opportunity to engage a consumer based on current data leads to missed sales opportunitiesProcessing data in real-time enables all parts of the value chain to see the status of operations without delay and make better-informed decisions that help avoid these problems.What are Databricks’ real-time data differentiated capabilities?Databricks’ Lakehouse uses technologies that include Delta, Delta Live Tables, Autoloader and Photon to enable customers to make data available for real-time decisions.Lakehouse for Retail supports the largest data jobs at near real-time intervals. For example, customers are bringing nearly 400 million events per day from transactional log systems at 15-second intervals. Because of the disruption to reporting and analysis that occurs during data processing, most retail customers load data to their data warehouse during a nightly batch. Some companies are even loading data weekly or monthly.A Lakehouse event-driven architecture provides a simpler method of ingesting and processing batch and streaming data than legacy approaches, such as lambda architectures. This architecture handles the change data capture and provides ACID compliance to transactions.Delta Live Tables simplifies the creation of data pipelines and automatically builds in lineage to assist with ongoing management.The Lakehouse allows for real-time stream ingestion of data and analytics on streaming data. Data warehouses require the extraction, transformation, loading, and additional extraction from the data warehouse to perform any analytics.Photon provides record-setting query performance, enabling users to query even the largest of data sets to power real-time decisions in BI tools.Learn more about Lakehouse for Retail solutions.Additional ResourcesCollaborating Across the Retail Value Chain with Data and AIReal-time Point-of-Sale Analytics With a Data LakehouseImproving On-Shelf Availability for Items With AI Out of Stock ModelingBack to GlossaryProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/dataaisummit/speaker/brooke-wenig/#
Brooke Wenig - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingBrooke WenigDirector, Machine Learning Practice at DatabricksBack to speakersBrooke Wenig is a Machine Learning Practice Lead at Databricks. She leads a team of data scientists who develop large-scale machine learning pipelines for customers, as well as teach courses on distributed machine learning best practices. She is a co-author of Learning Spark, 2nd Edition, co-instructor of the Distributed Computing with Spark SQL Coursera course, and co-host of the Data Brew podcast. She received an MS in Computer Science from UCLA with a focus on distributed machine learning and a BA in Chinese. She enjoys cycling and taking her dog, Bingo, to the beach.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/company/careers/open-positions?department=customer%20success
Current job openings at Databricks | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOW OverviewCultureBenefitsDiversityStudents & new gradsCurrent job openings at DatabricksDepartmentLocationProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/kr/legal/privacynotice#dbadditionalinformation
Privacy Notice | DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWLegalTermsDatabricks Master Cloud Services AgreementAdvisory ServicesTraining ServicesUS Public Sector ServicesExternal User TermsWebsite Terms of UseCommunity Edition Terms of ServiceAcceptable Use PolicyPrivacyPrivacy NoticeCookie NoticeApplicant Privacy NoticeDatabricks SubprocessorsPrivacy FAQsDatabricks Data Processing AddendumAmendment to Data Processing AddendumSecurityDatabricks SecuritySecurity AddendumLegal Compliance and EthicsLegal Compliance & EthicsCode of ConductThird Party Code of ConductModern Slavery StatementFrance Pay Equity ReportSubscribe to UpdatesPrivacy NoticeThis Privacy Notice explains how Databricks, Inc. and its affiliates (“Databricks”, “we”, “our”, and “us”) collects, uses, shares and otherwise processes your personal information (also known as personal data) in connection with the use of Databricks websites and applications that link to this Privacy Notice (the “Sites”), our data processing platform products and services (the “Platform Services”) and in the usual course of business, such as in connection with our events, sales, and marketing activities (collectively, “Databricks Services”). It also contains information about your choices and privacy rights.Our ServicesWe provide the Platform Services to our customers and users (collectively, “Customers”) under an agreement with them and solely for their benefit and the benefit of personnel authorized to use the Platform Services (“Authorized Users”). Our processing of such data is governed by our agreement with the relevant Customer. This Privacy Notice does not apply to (i) the data that our Customers upload, submit or otherwise make available to the Platform Services and other data that we process on their behalf, as defined in our agreement with the Customer; (ii) any products, services, websites, or content that are offered by third parties or that have their own privacy notice; or (iii) personal information that we collect and process in connection with our recruitment activities, which is covered under our Applicant Privacy Notice.We recommend that you read this Privacy Notice in full to ensure that you are informed. However, if you only want to access a particular section of this Privacy Notice, you can click on the link below to go to that section.Information We Collect About YouHow We Use Your InformationHow We Share Your InformationInternational TransfersYour Choices and RightsAdditional Information for Certain JurisdictionsOther Important InformationChanges to this NoticeHow to Contact UsInformation We Collect About YouInformation that we collect from or about you includes information you provide, information we collect automatically, and information we receive from other sources.Information you provideWhen using our Databricks Services, we may collect certain information, such as your name, email address, phone number, postal address, job title, and company name. We may also collect other information that you provide through your interactions with us, for example if you request information about our Platform Services, interact with our sales team or contact customer support, complete a survey, provide feedback or post comments, register for an event, or take part in marketing activities. We may keep a record of your communications with us and other information you share during the course of the communications.When you create an account, for example, through our Sites or register to use our Platform Services, we may collect your personal information, such as your name and contact information. We may also collect credit card information if chosen by you as a payment method, which may be shared with our third party service providers, including for payment and billing purposes. Information we collect automatically We use standard automated data collection tools, such as cookies, web beacons, tracking pixels, tags, and similar tools, to collect information about how people use our Sites and interact with our emails.For example, when you visit our Sites we (or an authorized third party) may collect certain information from you or your device. This may include information about your computer or device (such as operating system, device identifier, browser language, and Internet Protocol (IP) address), and information about your activities on our Sites (such as how you came to our Sites, access times, the links you click on, and other statistical information). For example, your IP address may be used to derive general location information. We use this information to help us understand how you are using our Sites and how to better provide the Sites to you. We may also use web beacons and pixels in our emails. For example, we may place a pixel in our emails that notifies us when you click on a link in the email. We use these technologies to improve our communications. The types of data collection tools we use may change over time as technology evolves. You can learn more about our use of cookies and similar tools, as well as how to opt out of certain data collection, by visiting our Cookie Notice. When you use our Platform Services, we automatically collect information about how you are using the Platform Services (“Usage Data”). While most Usage Data is not personal information, it may include information about your account (such as User ID, email address, or Internet Protocol (IP) address) and information about your computer or device (such as browser type and operating system). It may also include information about your activities within the Platform Services, such as the pages or features you access or use, the time spent on those pages or features, search terms entered, commands executed, information about the types and size of files analyzed via the Platform Services, and other statistical information relating to your use of the Platform Services. We collect Usage Data to provide, support and operate the Platform Services, for network and information security, and to better understand how our Authorized Users and Customers are using the Platform Services to improve our products and services. We may also use the information we collect automatically (for example, IP address, and unique device identifiers) to identify the same unique person across Databricks Services to provide a more seamless and personalized experience to you. Information we receive from other sourcesWe may obtain information about you from third party sources, including resellers, distributors, business partners, event sponsors, security and fraud detection services, social media platforms, and publicly available sources. 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Our purposes for collecting your personal information include:to provide, maintain, deliver and update the Databricks Services;to create and maintain your Databricks account;to measure your use and improve Databricks Services, and to develop new products and services;for billing, payment, or account management; for example, to identify your account and correctly identify your usage of our products and services;to provide you with customer service and support;to register and provide you with training and certification programs;to investigate security issues, prevent fraud, or combat the illegal or controlled uses of our products and services;for sales phone calls for training and coaching purposes, quality assurance and administration (in accordance with applicable laws), including to analyze sales calls using analytics tools to gain better insights into our interactions with customers; to send you notifications about the Databricks Services, including technical notices, updates, security alerts, administrative messages and invoices;to respond to your questions, comments, and requests, including to keep in contact with you regarding the products and services you use;to tailor and send you newsletters, emails and other content to promote our products and services (you can always unsubscribe from our marketing emails by clicking here) and to allow third party partners (like our event sponsors) to send you marketing communications about their services, in accordance with your preferences;to personalize your experience when using our Sites and Platform Services;for advertising purposes; for example, to display and measure advertising on third party websites;to contact you to conduct surveys and for market research purposes;to generate and analyze statistical information about how our Sites and Platform Services are used in the aggregate;for other legitimate interests or lawful business purposes; for example, customer surveys, collecting feedback, and conducting audits;to comply with our obligations under applicable law, legal process, or government regulation; andfor other purposes, where you have given consent.How We Share Your InformationWe may share your personal information with third parties as follows:with our affiliates and subsidiaries for the purposes described in this Privacy Notice;with our service providers who assist us in providing the Databricks Services, such as billing, payment card processing, customer support, sales and marketing, and data analysis, subject to confidentiality obligations and the requirement that those service providers do not sell your personal information;with our service providers who assist us with detecting and preventing fraud, security threats or other illegal or malicious behavior, for example Sift who provides fraud detection services where your personal information is processed by Sift in accordance with its Privacy Notice available at https://sift.com/service-privacy;with third party business partners, such as resellers, distributors, and/or referral partners, who are involved in providing content, products or services to our prospects or Customers. 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In particular, we may transfer your personal information to the United States and other countries where our affiliates, business partners and services providers are located. These countries may not have equivalent data protection laws to the country where you reside. Wherever we process your personal information, we take appropriate steps to ensure it is protected in accordance with this Privacy Notice and applicable data protection laws. These safeguards include implementing the European Commission’s Standard Contractual Clauses for transfers of personal information from the EEA or Switzerland between us and our business partners and service providers, and equivalent measures for transfers of personal information from the United Kingdom. Databricks also offers our Customers the ability to enter into a data processing addendum (DPA) that contains the Standard Contractual Clauses, for transfers between us and our Customers. We also make use of supplementary measures to ensure your information is adequately protected. Privacy Shield NoticeDatabricks adheres to the principles of the EU-U.S. and Swiss-U.S. Privacy Shield Frameworks, although Databricks no longer relies on the EU-U.S. or Swiss-U.S. Privacy Shield Frameworks as a legal basis for transfers of personal information in light of the judgment of the Court of Justice of the European Union in Case C-311/18. To learn more, visit our Privacy Shield Notice.Your Choices and RightsWe offer you choices regarding the collection, use and sharing of your personal information and we will respect the choices you make in accordance with applicable law. Please note that if you decide not to provide us with certain personal information, you may not be able to access certain features of the Sites or use the Platform Services.Account informationIf you want to correct, update or delete your account information, please log on to your Databricks account and update your profile.Opt out of marketingWe may periodically send you marketing communications that promote our products and services consistent with your choices. You may opt out from receiving such communications, either by following the unsubscribe instructions in the communication you receive or by clicking here. Please note that we may still send you important service-related communications regarding our products or services, such as communications about your subscription or account, service announcements or security information.Your privacy rightsDepending upon your place of residence, you may have rights in relation to your personal information. Please review the jurisdiction specific sections below, including the disclosures for California residents. Depending on applicable data protection laws, those rights may include asking us to provide certain information about our collection and processing of your personal information, or requesting access, correction or deletion of your personal information. You also have the right to withdraw your consent, to the extent we rely on consent to process your personal information. If you wish to exercise any of your rights under applicable data protection laws, submit a request online by completing the request form here or emailing us at [email protected]. We will respond to requests that we receive in accordance with applicable laws. Databricks may take certain steps to verify your request using information available to us, such as your email address or other information associated with your Databricks account, and if needed we may ask you to provide additional information for the purposes of verifying your request. Any information you provide to us for verification purposes will only be used to process and maintain a record of your request.As described above, we may also process personal information that has been submitted by a Customer to our Platform Services. If your personal information has been submitted to the Platform Services by or on behalf of a Databricks Customer and you wish to exercise your privacy rights, please direct your request to the relevant Customer. For other inquiries, please contact us at [email protected].Additional Information for Certain JurisdictionsThis section provides additional information about our privacy practices for certain jurisdictions.CaliforniaIf you are a California resident, the California Consumer Privacy Act (“CCPA”) requires us to provide you with additional information regarding your rights with respect to your “personal information. This information is described in our Supplemental Privacy Notice to California Residents.  Other US StatesDepending on applicable laws in your state of residence, you may request to: (1) confirm whether or not we process your personal information; (2) access, correct, or delete personal information we maintain about you; (3) receive a portable copy of such personal information; and/or (4) restrict or opt out of certain processing of your personal information, such as targeted advertising, or profiling in furtherance of decisions that produce legal or similarly significant effects. If we refuse to take action on a request, we will provide instructions on how you may appeal the decision. We will respond to requests consistent with applicable law.European Economic Area, UK and SwitzerlandIf you are located in the European Economic Area, United Kingdom or Switzerland, the controller of your personal information is Databricks, Inc., 160 Spear Street, Suite 1300, San Francisco, CA 94105, United States. We only collect your personal information if we have a legal basis for doing so. The legal basis that we rely on depends on the personal information concerned and the specific context in which we collect it. Generally, we collect and process your personal information where:We need it to enter into or perform a contract with you, such as to provide you with the Platform Services, respond to your request, or provide you with customer support;We need to process your personal information to comply with a legal obligation (such as to comply with applicable legal, tax and accounting requirements) or to protect the vital interests of you or other individuals;You give us your consent, such as to receive certain marketing communications; orWhere we have a legitimate interest, such as to respond to your requests and inquiries, to ensure the security of the Sites and Platform Services, to detect and prevent fraud, to maintain, customize and improve the Sites and Platform Services, to promote Databricks and our Platform Services, and to defend our interests and rights.If you have consented to our use of your personal information for a specific purpose, you have the right to change your mind at any time but this will not affect our processing of your information that has already taken place. You also have the following rights with respect to your personal information:The right to access, correct, update, or request deletion of your personal information;The right to object to the processing of your personal information or ask that we restrict the processing of your personal information;The right to request portability of your personal information;The right to withdraw your personal information at any time, if we collected and processed your personal information with your consent; andThe right to lodge a complaint with your national data protection authority or equivalent regulatory body.If you wish to exercise any of your rights under data protection laws, please contact us as described under “Your Choices and Rights”.Other Important InformationNotice to Authorized UsersOur Platform Services are intended to be used by organizations. Where the Platform Services are made available to you through an organization (e.g., your employer), that organization is the administrator of the Platform Services and responsible for the accounts and/or services over which it has control. For example, administrators can access and change information in your account or restrict and terminate your access to the Platform Services. We are not responsible for the privacy or security practices of an administrator's organization, which may be different from this Privacy Notice. Please contact your organization or refer to your organization's policies for more information.Data RetentionDatabricks retains the personal information described in this Privacy Notice for as long as you use our Databricks Services, as may be required by law (for example, to comply with applicable legal tax or accounting requirements), as necessary for other legitimate business or commercial purposes described in this Privacy Notice (for example, to resolve disputes or enforce our agreements), or as otherwise communicated to you.SecurityWe are committed to protecting your information. We use a variety of technical, physical, and organizational security measures designed to protect against unauthorized access, alteration, disclosure, or destruction of information. However, no security measures are perfect or impenetrable. As such, we cannot guarantee the security of your information.Third Party ServicesOur Databricks Services may contain links to third party websites, applications, services, or social networks (including co-branded websites or products that are maintained by one of our business partners). We may also make available certain features that allow you to sign into our Sites using third party login credentials (such as LinkedIn, Facebook, Twitter and Google+) or access third party services from our Platform Services (such as Github). Any information that you choose to submit to third party services is not covered by this Privacy Notice. We encourage you to read the terms of use and privacy notices of use of such third party services before sharing your information with them to understand how your information may be collected and used.Children's DataThe Sites and Platform Services are not directed to children under 18 years of age and Databricks does not knowingly collect personal information from children under 18. If we learn that we have collected any personal information from children under 18, we will promptly take steps to delete such information. If you are aware that a child has submitted us such information, please contact us using the details provided below.Changes to this NoticeDatabricks may change this Privacy Notice from time to time. We will post any changes on this page and, if we make material changes, provide a more prominent notice (for example, by adding a statement to the website landing page, providing notice through the Platform Services login screen, or by emailing you). You can see the date on which the latest version of this Privacy Notice was posted below. If you disagree with any changes to this Privacy Notice, you should stop using the Databricks Services and deactivate your Databricks account. How to Contact UsPlease contact us at [email protected] if you have any questions about our privacy practices or this Privacy Notice. You can also write to us at Databricks Inc., 160 Spear Street, Suite 1300, San Francisco, CA 94105 Attn: Privacy.If you interact with Databricks through or on behalf of your organization, then your personal information may also be subject to your organization’s privacy practices and you should direct any questions to that organization.Last updated: January 3, 2023ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. 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https://www.databricks.com/wp-content/uploads/2021/08/cs-lakehouse-buildout-package-datasheet-external.pdf
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endstream endobj 17 0 obj <> endobj xref 0 174 0000000000 65535 f 0000149428 00000 n 0000162722 00000 n 0000185780 00000 n 0000185890 00000 n 0000185966 00000 n 0000186249 00000 n 0000186300 00000 n 0000186412 00000 n 0000217805 00000 n 0000217840 00000 n 0000217917 00000 n 0000218168 00000 n 0000218229 00000 n 0000220208 00000 n 0000221125 00000 n 0000221185 00000 n 0000241887 00000 n 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f 0000000000 65535 f trailer <<08382DA4A370493487DB14EC04F3FC31>]>> startxref 116 %%EOF
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Press releases | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWPress releasesNews and announcementsPress releasesMay 5, 2023Databricks plans to increase local headcount in India by more than 50% to support business growth and drive customer success; launching new R&D hub in 2023 Read nowApril 4, 2023Databricks Announces Lakehouse for Manufacturing, Empowering the World’s Leading Manufacturers to Realize the Full Value of Their DataRead nowMarch 30, 2023Databricks Announces EMEA Expansion, Databricks Infrastructure in the AWS France (Paris) RegionRead nowMarch 7, 2023Databricks Launches Simplified Real-Time Machine Learning for the LakehouseRead nowJanuary 17, 2023Databricks Strengthens Commitment in Korea, Appointing Jungwook Jang as Country ManagerRead nowSee moreProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/dataaisummit/speaker/keshav-santhanam
Keshav Santhanam - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingKeshav SanthanamPhD Student at Stanford UniversityBack to speakersKeshav is a 4th-year PhD student at Stanford University advised by Matei Zaharia. His research is broadly centered on optimizing systems for machine learning, with a recent focus on improving resource efficiency for neural information retrieval systems.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/simon-whiteley
Simon Whiteley - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingSimon WhiteleyCTO at Advancing AnalyticsBack to speakersSimon is a Databricks Beacon, Microsoft MVP and owner of Advancing Analytics. A deep techie with a focus on emerging cloud technologies and applying “big data” thinking to traditional analytics problems, Simon also has a passion for bringing it back to the high level and making sense of the bigger picture. When not tinkering with tech, Simon is a death-dodging London cyclist, a sampler of craft beers, an avid chef, and a generally nerdy person.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/stan-lin/#
Stan Lin - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingStan LinSenior Software Engineer at Microsoft CorporationBack to speakersTech lead at Microsoft, MSAI. Experience in large-scale machine learning, graph intelligence, performant web services and compliance. Building the large-scale ML platform powering Microsoft 365 knowledge mining, search and recommendation.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/blog/category/engineering/open-source
The Databricks BlogSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWLoading...ProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/dataaisummit/speaker/adam-wilson
Adam Wilson - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingAdam WilsonCo-Founder, Chief of Product at Divirod, Inc.Back to speakersAdam is a serial entrepreneur. He co-founded Sphero in 2010, the robot company responsible for bringing joy and education to millions of kids through programmable robots and amazing educational content. He has a unique talent for product development, visionary ideas and relentless drive to focus on execution and is a contributor to over 15 technology patents. Adam’s real passion is “making,” he has a full size R2-D2 in his living room, loves to judge kid’s science fairs, sits on the NHS board of University of Northern Colorado where he graduated with a undergraduate degree in math and physics and you may have even seen some of his work as a spokesperson from past Microsoft commercials!Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/fr/try-databricks?itm_data=Homepage-BottomCTA-Trial
Essayer gratuitement Databricks | DatabricksEssayer gratuitement DatabricksExpérimentez pleinement la plateforme Databricks gratuitement pendant 14 jours, sur AWS, Microsoft Azure ou Google Cloud, au choix.Simplification de l'ingestion des données et automatisation de l’ETLImportez des données depuis des centaines de sources. Utilisez une approche déclarative simple pour créer des pipelines de données.Collaborez dans votre langage préféréCodez en Python, R, Scala et SQL. Bénéficiez du RBAC, d’intégrations avec Git et d’outils comme la rédaction collaborative et la gestion automatique des versions.Un rapport performance / prix jusqu'à 12 fois supérieur à celui des data warehousesDécouvrez pourquoi plus de 7 000 clients dans le monde s’appuient sur Databricks pour toutes leurs charges de travail de la BI à l’IA.Créez votre compte Databricks1/2PrénomNomE-mail professionnelEntrepriseIntitulé de posteNuméro de téléphone (facultatif)Veuillez sélectionnerPaysContinuerAvis de confidentialité (mis à jour)Conditions d'utilisationVos choix de confidentialitéVos droits de confidentialité en Californie
https://www.databricks.com/dataaisummit/code-of-conduct/
Code of Conduct - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingCode of ConductData + AI Summit Event , Organized by DatabricksSummit Organizers are committed to creating a safe and inclusive experience for our conference attendees, regardless of gender, sexual orientation, disability, physical appearance, body size, race, or religion. We do not tolerate harassment in any form. All communication — including at the event and various associated venues, as well as online — should be appropriate for a professional audience, including people of many different backgrounds and experiences. Be kind to others. Do not insult or put down other attendees. Act professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate at any time at any event organized by Databricks. Interaction Guidelines for AttendeesFor all interactions during the Data + AI Summit Event, we expect participants to abide by the event’s Code of Conduct to ensure the environment remains productive and respectful. The following guidelines will further help ensure we maintain an inclusive experience throughout our event: Be respectful of others. Avoid conflicts and arguments. Use common sense, kindness, and consideration together with the guidelines outlined above. If you intend to participate in the event, please make sure to dress appropriately. EnforcementIf a participant engages in behavior that doesn’t comply with these expectations, Summit Organizers may take any action that we deem appropriate, including warning the participant, excluding the participant from certain activities, prohibiting the participant from attending future events organized by Databricks, expelling the participant from the event without a refund, banning the participant from online forums, and other similar type experiences. Participants asked to stop any harassing or other unacceptable behaviors are expected to comply immediately. Anyone violating these rules may be asked to leave the experience without a refund at the sole discretion of Summit Organizers. Please note, while we take all concerns raised seriously, we will use our discretion to determine when and how to follow up on reported incidents, and may decline to take any further action and/or may direct the participant to other resources to address the concern. Reporting an IssueIf you are being harassed, notice that someone else is, or have any concerns, please contact Summit Organizers at [email protected] and provide your name, phone number, email, and a description of the situation. Summit Organizers can only address complaints about behavior at the Event. The reporting mechanisms under this Code of Conduct are not intended to address criminal activity or emergency situations. If you have been the victim of a crime or there is an emergency, please contact the appropriate municipal authorities, such as the police, fire, medical, or other emergency responders. Thank you for helping make Databricks Data + AI Summit a welcoming, friendly place for all to share new ideas, learn, and connect. Information for Presenters: Presenters who are unsure whether their presentations or other materials and communications are consistent with these expectations, please contact Toby Malina at  [email protected] in advance of the experience.   HomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/company/careers/open-positions?department=product
Current job openings at Databricks | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT Goodbye, Data Warehouse. Hello, Lakehouse. Attend to understand how a data lakehouse fits within your modern data stack. Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence. See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco June 26–29   Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOW OverviewCultureBenefitsDiversityStudents & new gradsCurrent job openings at DatabricksDepartmentLocationProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights
https://www.databricks.com/br/learn
Aprender | DatabricksSkip to main contentPlataformaDatabricks Lakehouse PlatformDelta LakeGovernança de dadosData EngineeringStreaming de dadosArmazenamento de dadosData SharingMachine LearningData SciencePreçosMarketplaceTecnologia de código abertoCentro de segurança e confiançaWEBINAR Maio 18 / 8 AM PT Adeus, Data Warehouse. Olá, Lakehouse. Participe para entender como um data lakehouse se encaixa em sua pilha de dados moderna. Inscreva-se agoraSoluçõesSoluções por setorServiços financeirosSaúde e ciências da vidaProdução industrialComunicações, mídia e entretenimentoSetor públicoVarejoVer todos os setoresSoluções por caso de usoAceleradores de soluçãoServiços profissionaisNegócios nativos digitaisMigração da plataforma de dados9 de maio | 8h PT   Descubra a Lakehouse para Manufatura Saiba como a Corning está tomando decisões críticas que minimizam as inspeções manuais, reduzem os custos de envio e aumentam a satisfação do cliente.Inscreva-se hojeAprenderDocumentaçãoTreinamento e certificaçãoDemosRecursosComunidade onlineAliança com universidadesEventosData+AI SummitBlogLaboratóriosBeaconsA maior conferência de dados, análises e IA do mundo retorna a São Francisco, de 26 a 29 de junho. ParticipeClientesParceirosParceiros de nuvemAWSAzureGoogle CloudConexão de parceirosParceiros de tecnologia e dadosPrograma de parceiros de tecnologiaPrograma de parceiros de dadosBuilt on Databricks Partner ProgramParceiros de consultoria e ISPrograma de parceiros de C&ISSoluções para parceirosConecte-se com apenas alguns cliques a soluções de parceiros validadas.Saiba maisEmpresaCarreiras em DatabricksNossa equipeConselho de AdministraçãoBlog da empresaImprensaDatabricks VenturesPrêmios e reconhecimentoEntre em contatoVeja por que o Gartner nomeou a Databricks como líder pelo segundo ano consecutivoObtenha o relatórioExperimente DatabricksAssista às DemosEntre em contatoInício de sessãoJUNE 26-29REGISTER NOWAprenderDescubra e explore um mundo de recursos da Databricks na ponta dos seus dedos. Você encontrará treinamento e certificação, próximos eventos, documentação útil e muito mais.Comece a usar a DatabricksAprenda o básicoA Databricks Lakehouse Platform facilita a criação e execução de pipelines de dados, a colaboração em projetos de data science e análise, e a criação e implementação de modelos de machine learning. Confira nossos guias de introdução abaixo.Novo na Databricks? Comece sua jornada com a Databricks guiado por um experiente engenheiro de sucesso do cliente.Integração da Databricks Lakehouse Fundamentals Training Watch 4 short videos, take the quiz and get your badge to share on LinkedIn or your résumé Get startedData science e data engineeringAdministradores DatabricksAnálise de SQLMachine leaningTreinamentoFaça treinamentos pela Databricks Academy. Aprenda a dominar a análise de dados da equipe por trás do projeto de pesquisa Apache Spark™ na Universidade da Califórnia, em Berkeley.Databricks AcademyCertificaçãoOs exames de certificação avaliam seu nível de conhecimento da Databricks Lakehouse Platform e os métodos necessários para implementar projetos de qualidade com sucesso. Eles ajudam você a ganhar reconhecimento do setor, diferenciação competitiva, maior produtividade e resultados e uma medida tangível de seu investimento educacional.Certificação DatabricksEncontre respostas para suas perguntasEscolha uma das seguintes maneiras de esclarecer quaisquer dúvidas que possam surgir quando você está começando:Pergunte a um especialista técnico da Databricks em tempo realComunidade onlineExplore tópicos populares dentro da comunidade Databricks.Conecte-se com a comunidadeTópicos populares do fórumDatabricksDelta LakeSparkSQLPySparkAzureAWSGCPPrecisa de ajuda?Se você tiver um contrato de suporte ou estiver interessado em um, confira nossas opções abaixo. Para obter orientações estratégicas de negócios (com um engenheiro de sucesso do cliente ou um contrato de serviços profissionais), entre em contato com o administrador do workspace para falar com o executivo de contas da Databricks.Confira nossas opções de suporteGaleria de NotebookEsta galeria apresenta algumas das possibilidades por meio de notebooks focados em tecnologias e casos de uso que podem ser facilmente importados para seu próprio ambiente da Databricks ou para a edição gratuita da comunidade.Galeria de notebooks da DatabricksDocumentaçãoO site de documentação técnica da Databricks fornece orientação e informações de referência para data science e data engineering da Databricks, machine learning da Databricks e ambientes baseados em configurações do Databricks SQL.Documentação da AWSDocumentação do AzureDocumentação do GoogleEventos e comunidade da DatabricksData+AI SummitParticipe de palestras, anúncios de produtos e mais de 200 sessões técnicas — incluindo um time especialistas no setor, em pesquisa e acadêmicos.Saiba maisEventos globaisEconomize seu lugar em uma de nossas conferências globais ou regionais, demonstrações de produtos ao vivo, webinars, eventos patrocinados por parceiros ou encontros.Saiba maisEncontros online sobre dados e IADescubra o que está acontecendo nos grupos Databricks Meetup em todo o mundo e participe virtualmente.Saiba maisBeaconsConheça os Databricks Beacons, um grupo de membros da comunidade que fazem todo o possível para promover a comunidade de dados e IA.Saiba maisAliança com universidadesJunte-se à Databricks University Alliance para acessar recursos gratuitos para educadores que desejam ensinar usando a Databricks.Saiba maisVidcast sobre preparação de dadosExplorar dados + IA com especialistasBrooke Wenig e Denny LeeSérie de vídeosPalestras e encontros de tecnologia onlineBrooke Wenig e Denny LeePalestras de tecnologiaGerenciamento do ciclo de vida completo de machine learning usando o MLflowJules DamjiPalestras de tecnologiaIntrodução ao Delta LakeDenny LeePalestras de tecnologiaMergulhar no Delta Lake (Avançado)Denny LeeHub de demonstração da Databricks (demonstrações do produto)Dados e pesquisa de IAMatei ZahariaCofundador e tecnólogo-chefeDatabricksReynold XinCofundador e arquiteto-chefeDatabricksSue Ann HongEngenheiro de softwareDatabricksLeia artigos recentes de fundadores, funcionários e pesquisadores da Databricks sobre sistemas distribuídos, IA e análise de dados, em colaboração com as principais universidades, como UC Berkeley e Stanford.Acessar pesquisaProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineSoluçõesPor setorServiços profissionaisSoluçõesPor setorServiços profissionaisEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoSee Careers at DatabricksMundialEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Aviso de privacidade|Termos de Uso|Suas opções de privacidade|Seus direitos de privacidade na Califórnia
https://www.databricks.com/dataaisummit/speaker/antoni-baum/#
Antoni Baum - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingAntoni BaumSoftware Engineer at AnyscaleBack to speakersAntoni is a Software Engineer at Anyscale, working on Ray AIR and the rest of Ray ML ecosystem.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/deepak-sekar
Deepak Sekar - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingDeepak SekarSr. Solution Architect at DatabricksBack to speakersA Data & AI enthusiast from the down under! Extensive experience in building Enterprise/ SMB Data & AI solutions in ASEAN and Australia/NZ across Energy & Utilities/ Oil & Gas/ Telecommunication/ Retail. I love guiding organizations to embrace data & unlock the never-ending value that data brings to them. Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/br/company/partners/cloud-partners
Parceiro provedor de serviços em nuvem da Databricks | DatabricksSkip to main contentPlataformaDatabricks Lakehouse PlatformDelta LakeGovernança de dadosData EngineeringStreaming de dadosArmazenamento de dadosData SharingMachine LearningData SciencePreçosMarketplaceTecnologia de código abertoCentro de segurança e confiançaWEBINAR Maio 18 / 8 AM PT Adeus, Data Warehouse. Olá, Lakehouse. Participe para entender como um data lakehouse se encaixa em sua pilha de dados moderna. Inscreva-se agoraSoluçõesSoluções por setorServiços financeirosSaúde e ciências da vidaProdução industrialComunicações, mídia e entretenimentoSetor públicoVarejoVer todos os setoresSoluções por caso de usoAceleradores de soluçãoServiços profissionaisNegócios nativos digitaisMigração da plataforma de dados9 de maio | 8h PT   Descubra a Lakehouse para Manufatura Saiba como a Corning está tomando decisões críticas que minimizam as inspeções manuais, reduzem os custos de envio e aumentam a satisfação do cliente.Inscreva-se hojeAprenderDocumentaçãoTreinamento e certificaçãoDemosRecursosComunidade onlineAliança com universidadesEventosData+AI SummitBlogLaboratóriosBeaconsA maior conferência de dados, análises e IA do mundo retorna a São Francisco, de 26 a 29 de junho. ParticipeClientesParceirosParceiros de nuvemAWSAzureGoogle CloudConexão de parceirosParceiros de tecnologia e dadosPrograma de parceiros de tecnologiaPrograma de parceiros de dadosBuilt on Databricks Partner ProgramParceiros de consultoria e ISPrograma de parceiros de C&ISSoluções para parceirosConecte-se com apenas alguns cliques a soluções de parceiros validadas.Saiba maisEmpresaCarreiras em DatabricksNossa equipeConselho de AdministraçãoBlog da empresaImprensaDatabricks VenturesPrêmios e reconhecimentoEntre em contatoVeja por que o Gartner nomeou a Databricks como líder pelo segundo ano consecutivoObtenha o relatórioExperimente DatabricksAssista às DemosEntre em contatoInício de sessãoJUNE 26-29REGISTER NOWParceiros em nuvem da DatabricksO Databricks Lakehouse funciona em todas as principais nuvens públicas, totalmente integrado com os serviços de segurança, compute, armazenamento, análise e inteligência artificial oferecidos nativamente pelos provedores de nuvem. Isso fornece a agilidade de que você precisa para aproveitar seu provedor de nuvem preferido, quando e como quiser.O Azure Databricks é um serviço primário desenvolvido em conjunto entre a Databricks e a Microsoft. Comece com um único clique no portal do Azure e integre-se nativamente aos serviços de segurança e dados do Azure.Saiba maisA Databricks no AWS permite que você armazene e gerencie todos os seus dados em uma plataforma simples e aberta de lakehouse que combina o melhor dos data warehouses e data lakes para unificar todas as suas análises e cargas de trabalho de IA.Saiba maisA Databricks no Google Cloud traz a plataforma lakehouse aberta para a nuvem aberta para unificar data engineering, data science e análise, com uma estreita integração ao Google Cloud Storage, BigQuery e a plataforma de IA do Google Cloud.Saiba maisRegiões de nuvem●Azure  ●AWS  ●Google ●AlibabaProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoProdutoVisão geral da plataformaPreçosTecnologia de código abertoExperimente DatabricksDemoAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineAprendizagem e suporteDocumentaçãoGlossárioTreinamento e certificaçãoCentral de ajudaInformações legaisComunidade onlineSoluçõesPor setorServiços profissionaisSoluçõesPor setorServiços profissionaisEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoEmpresaQuem somosCarreiras em DatabricksDiversidade e inclusãoBlog da empresaEntre em contatoSee Careers at DatabricksMundialEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Aviso de privacidade|Termos de Uso|Suas opções de privacidade|Seus direitos de privacidade na Califórnia
https://www.databricks.com/dataaisummit/speaker/chris-hecht
Chris Hecht - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingChris Hecht DatabricksBack to speakersLooking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/beth-mattson
Beth Mattson - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingBeth MattsonSenior Data Engineer at Our Family WizardBack to speakersPragmatic data engineer with a keen interest in data as actionable information, always striving to provide users opportunities for data discovery, creativity, and iteration. Background spans healthcare to software start-ups.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/dataaisummit/speaker/jamie-baker/#
Jamie Baker - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingJamie BakerDirector of Product at MatillionBack to speakersJamie Baker is an accomplished product, domain leader/manager, solutions consultant, and an industry-recognized subject matter expert, with a proven track record delivering enterprise on-premise and SaaS software products and solutions across IT infrastructure and Data Integration markets. Jamie has presented at global IT conferences on capacity management, digital transformation, and ITIL process implementation and maturity.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
https://www.databricks.com/try-databricks?itm_data=DataScience-HeroCTA-Trial
Try Databricks | DatabricksTry Databricks free Test-drive the full Databricks platform free for 14 days on your choice of AWS, Microsoft Azure or Google Cloud.Simplify data ingestion and automate ETLIngest data from hundreds of sources. Use a simple declarative approach to build data pipelines.Collaborate in your preferred languageCode in Python, R, Scala and SQL with coauthoring, automatic versioning, Git integrations and RBAC.12x better price/performance than cloud data warehousesSee why over 7,000 customers worldwide rely on Databricks for all their workloads from BI to AI.Create your Databricks account1/2First nameLast NameEmailCompanyTitlePhone (Optional)SelectCountryContinuePrivacy Notice (Updated)Terms of UseYour Privacy ChoicesYour California Privacy Rights
https://www.databricks.com/de/product/delta-lake-on-databricks
Delta Lake in Databricks – jetzt Demo planen!Skip to main contentPlattformDie Lakehouse-Plattform von DatabricksDelta LakeData GovernanceData EngineeringDatenstreamingData-WarehousingGemeinsame DatennutzungMachine LearningData SciencePreiseMarketplaceOpen source techSecurity & Trust CenterWEBINAR 18. Mai / 8 Uhr PT Auf Wiedersehen, Data Warehouse. Hallo, Lakehouse. Nehmen Sie teil, um zu verstehen, wie ein Data Lakehouse in Ihren modernen Datenstapel passt. Melden Sie sich jetzt anLösungenLösungen nach BrancheFinanzdienstleistungenGesundheitswesen und BiowissenschaftenFertigungKommunikation, Medien und UnterhaltungÖffentlicher SektorEinzelhandelAlle Branchen anzeigenLösungen nach AnwendungsfallSolution AcceleratorsProfessionelle ServicesDigital-Native-UnternehmenMigration der Datenplattform9. Mai | 8 Uhr PT   Entdecken Sie das Lakehouse für die Fertigung Erfahren Sie, wie Corning wichtige Entscheidungen trifft, die manuelle Inspektionen minimieren, die Versandkosten senken und die Kundenzufriedenheit erhöhen.Registrieren Sie sich noch heuteLernenDokumentationWEITERBILDUNG & ZERTIFIZIERUNGDemosRessourcenOnline-CommunityUniversity AllianceVeranstaltungenData + AI SummitBlogLabsBaken26.–29. Juni 2023 Nehmen Sie persönlich teil oder schalten Sie für den Livestream der Keynote einJetzt registrierenKundenPartnerCloud-PartnerAWSAzureGoogle CloudPartner ConnectTechnologie- und DatenpartnerTechnologiepartnerprogrammDatenpartner-ProgrammBuilt on Databricks Partner ProgramConsulting- und SI-PartnerC&SI-PartnerprogrammLösungen von PartnernVernetzen Sie sich mit validierten Partnerlösungen mit nur wenigen Klicks.Mehr InformationenUnternehmenKarriere bei DatabricksUnser TeamVorstandUnternehmensblogPresseAktuelle Unternehmungen von DatabricksAuszeichnungen und AnerkennungenKontaktErfahren Sie, warum Gartner Databricks zum zweiten Mal in Folge als Leader benannt hatBericht abrufenDatabricks testenDemos ansehenKontaktLoginJUNE 26-29REGISTER NOWDelta LakeLeistung, Sicherheit und Zuverlässigkeit für Ihren Data LakeKostenlos testenDemo ansehenWas ist Delta Lake?Delta Lake ist ein formatoffener Speicher-Layer, der die in Ihrem Data Lake für Leistung, Sicherheit und Zuverlässigkeit sorgt – sei es im Streaming- oder im Batch-Betrieb. Dabei ersetzt Delta Lake vorhandene Datensilos durch ein zentrales Repository für strukturierte, teilstrukturierte und unstrukturierte Daten und bildet so die Grundlage für ein kostengünstiges und hochgradig skalierbares Lakehouse.Hochwertige und zuverlässige DatenImplementieren Sie eine belastbare Single Source of Truth für alle Ihre Daten (inklusive Echtzeit-Streams). So können Ihre Teams jederzeit mit den aktuellsten Daten arbeiten. Dank Unterstützung für ACID-Transaktionen und Schemaerzwingung bietet Delta Lake das Mehr an Zuverlässigkeit, das herkömmlichen Data Lakes fehlt. So können Sie aussagekräftige Erkenntnisse aus Ihren Daten unternehmensweit skalieren, Analysen und weitere Datenprojekte direkt für Ihren Data Lake ausführen und die Time-to-Insight sage und schreibe um den Faktor 50 beschleunigen.Offener und sicherer DatenaustauschDelta Sharing ist das branchenweit erste offene Protokoll für die sichere Datenfreigabe. Mit Delta Sharing wird der Datenaustausch mit anderen Organisationen zum Kinderspiel – ganz gleich, wo die Daten gespeichert sind. Die native Integration mit dem Unity-Katalog gestattet organisationsübergreifend das zentrale Verwalten und Auditing freigegebener Daten. So können Sie Datenbestände vertrauensvoll mit Lieferanten und Partnern teilen, damit Unternehmensabläufe besser koordiniert und Sicherheits- und Compliance-Anforderungen zuverlässig erfüllt werden. Die Integration mit führenden Lösungen und Plattformen ermöglichen es Ihnen, freigegebene Daten aus den Tools Ihrer Wahl zu visualisieren, abzufragen und anzureichern und eine ordnungsgemäße Governance zu gewährleisten.Performance in LichtgeschwindigkeitDank Apache Spark™ unter der Haube liefert Delta Lake Skalierung und Verarbeitung in rasanter Geschwindigkeit. Und weil Delta Lake mit leistungsstarken Funktionen optimiert wurde – beispielsweise einer Indizierung –, werden ETL-Workloads nach Angaben unserer Kunden jetzt um bis zu 48 % schneller ausgeführt.Offen und agilAlle Daten in Delta Lake werden im offenen Apache Parquet-Format gespeichert. So können die Daten von jedem kompatiblen Reader gelesen werden. Auch die APIs sind offen und kompatibel mit Apache Spark. Mit Delta Lake auf Databricks erhalten Sie Zugang zu einem riesigen Open-Source-Ökosystem und vermeiden technologische Abhängigkeiten Ihrer Daten von proprietären Formaten („Lock-in“).Automatisiertes und vertrauenswürdiges Data EngineeringMit Delta Live Tables wird das Data Engineering zum Kinderspiel: Noch nie war es so einfach, Daten-Pipelines für aktuelle und hochwertige Daten in Delta Lake zu erstellen und zu verwalten. Delta Live Tables unterstützt Data-Engineering-Teams beim Erstellen des Lakehouse-Unterbaus. Die Lösung vereinfacht die ETL-Entwicklung und -Verwaltung durch deklarative Pipeline-Entwicklung, höhere Datenzuverlässigkeit und einen Produktionsbetrieb im Cloud-Maßstab.Sicherheit und Governance im großen MaßstabDelta Lake erlaubt eine hochdifferenzierte Zugriffssteuerung für die Daten-Governance – eine Funktionalität, die bei Data Lakes normalerweise nicht gegeben ist – und trägt so zur Risikominderung bei. Daten in Ihrem Data Lake können schnell und sorgfältig geändert werden, um Regelungen wie etwa die DSGVO einzuhalten und durch Audit-Protokollierung eine bessere Daten-Governance zu gewährleisten. Diese Funktionen sind in Databricks als Bestandteil des Unity-Katalogs – des ersten Multicloud-Datenkatalogs für das Lakehouse – nativ integriert und erweitert.AnwendungsfälleBI für Ihre DatenFühren Sie Business-Intelligence-Workloads direkt auf Ihrem Data Lake aus, um neue Echtzeitdaten sofort für die Abfrage durch Data Analysts bereitzustellen und aktuellste Erkenntnisse zu Ihrem Unternehmen zu gewinnen. Mit Delta Lake können Sie eine Multicloud-Lakehouse-Architektur betreiben, die Data-Warehousing-Leistung zum günstigen Data-Lake-Preis bietet. Profitieren Sie von einem bis zu 6-mal besseren Preis-Leistungs-Verhältnis für SQL-Workloads im Vergleich zu herkömmlichen Cloud-Data-Warehouses.Mehr InformationenBatch und Streaming zusammenführenVergessen Sie komplexe und redundante Systeme oder betriebliche Herausforderungen: Führen Sie Batch- und Streaming-Operationen ganz unkompliziert auf derselben vereinfachten Architektur aus. In Delta Lake ist eine Tabelle sowohl Batch-Tabelle als auch Streaming-Quelle und -Senke. Ob Erfassung von Streaming-Daten, zeitlich versetzter Batch-Abgleich oder interaktive Abfragen: Alles funktioniert von Anfang an erwartungsgemäß und mit direkter Integration in Spark Structured Streaming.Gesetzliche Anforderungen erfüllenDelta Lake beseitigt sämtliche Probleme beim Erfassen fehlerhaft formatierter Daten, beim Compliance-bedingten Löschen von Daten und beim Ändern von Daten für die Datenänderungserfassung (Change Data Capture, CDC). Dank Unterstützung von ACID-Transaktionen an Ihrem Data Lake sorgt Delta Lake dafür, dass jede Operation entweder vollständig abgeschlossen oder – für spätere Wiederholungen – vollständig zurückgenommen wird, ohne dass neue Daten-Pipelines erstellt werden müssten. Außerdem zeichnet Delta Lake alle vergangenen Transaktionen an Ihrem Data Lake auf. Das macht den Zugriff auf frühere Versionen Ihrer Daten zum Kinderspiel und erlaubt die zuverlässige Erfüllung von Compliance-Standards wie DSGVO und CCPA.Netzwerk zur DatenaufnahmeSchnelles und zuverlässiges Einlesen von Daten aus allen Anwendungen, Datenbanken und Dateispeichern in Delta Lake – dank nativer KonnektorenKunden„Dank Databricks konnten wir unsere Time-to-Market deutlich reduzieren und bekamen genau die Analysefunktionen und den betrieblichen Schub, die wir brauchten, um den aktuellen Anforderungen im Gesundheitswesen gerecht zu werden.“ – Peter James, Chief Architect, Healthdirect AustraliaMehr Informationen„Allein durch den Einsatz von Databricks und Delta Lake konnten wir Daten bereits umfassend demokratisieren und gleichzeitig die Kosten für die Ausführung von Produktions-Workloads um 60 % senken. So haben wir mehrere Millionen Dollar eingespart.“ – Steve Pulec, Chief Technology Officer, YipitDataMehr Informationen„Delta Lake bietet ACID-Funktionen, mit denen sich der Betrieb von Daten-Pipelines vereinfachen lässt. Dadurch konnten wir die Zuverlässigkeit der Pipelines und die Datenkonsistenz verbessern. Gleichzeitig ermöglichen Funktionen wie Caching und Auto-Indizierung einen effizienten und leistungsstarken Zugriff auf die Daten.“ – Lara Minor, Senior Enterprise Data Manager, Columbia SportswearMehr Informationen„Dank Delta Lake konnten wir die Verwaltung unserer Daten-Pipelines verschlanken. Das hat zur Senkung der Betriebskosten beigetragen und gleichzeitig die Time-to-Insight für nachgelagerte Analytik und Data Science beschleunigt.“ – Parijat Dey, Assistant Vice President of Digital Transformation and Technology, Viacom18Mehr InformationenRessourcen Alle Ressourcen, die Sie brauchen. Alle an einem Ort. In der Ressourcenbibliothek finden Sie E-Books und Videos zu den Vorteilen von Data Engineering in Databricks. Ressourcen erkundenE-BooksDas große Buch der Anwendungsfälle für das Data EngineeringDaten, Analysen und KI-GovernanceGrundlagen der Datenverwaltung kennenlernen„Errichten eines Data Lakehouse“ von Bill Inmon, dem Vater des Data WarehouseTech Talks und SchulungenErste Schritte mit Delta Lake – Tech Talk-ReiheWebinareThe Good, The Bad & The UglyVertiefende Beschreibung von Lakehouse mit Delta LakeMöchten Sie loslegen?DATABRICKS KOSTENLOS TESTENDelta Lake-DokumentationProduktPlatform OverviewPreiseOpen Source TechDatabricks testenDemoProduktPlatform OverviewPreiseOpen Source TechDatabricks testenDemoLearn & SupportDokumentationGlossaryWEITERBILDUNG & ZERTIFIZIERUNGHelp CenterLegalOnline-CommunityLearn & SupportDokumentationGlossaryWEITERBILDUNG & ZERTIFIZIERUNGHelp CenterLegalOnline-CommunityLösungenBy IndustriesProfessionelle ServicesLösungenBy IndustriesProfessionelle ServicesUnternehmenÜber unsKarriere bei DatabricksDiversität und InklusionUnternehmensblogKontaktUnternehmenÜber unsKarriere bei DatabricksDiversität und InklusionUnternehmensblogKontaktWeitere Informationen unter „Karriere bei DatabricksWeltweitEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Datenschutzhinweis|Terms of Use|Ihre Datenschutzwahlen|Ihre kalifornischen Datenschutzrechte
https://www.databricks.com/it/product/machine-learning
Databricks Machine Learning | DatabricksSkip to main contentPiattaformaThe Databricks Lakehouse PlatformDelta LakeGovernance dei datiIngegneria dei datiStreaming di datiData warehouseCondivisione dei datiMachine LearningData SciencePrezziMarketplaceTecnologia open-sourceSecurity and Trust CenterWEBINAR 18 maggio / 8 AM PT Addio, Data Warehouse. Ciao, Lakehouse. Partecipa per capire come una data lakehouse si inserisce nel tuo stack di dati moderno. Registrati oraSoluzioniSoluzioni per settoreServizi finanziariSanità e bioscienzeIndustria manifatturieraComunicazioni, media e intrattenimentoSettore pubblicoretailVedi tutti i settoriSoluzioni per tipo di applicazioneAcceleratoriServizi professionaliAziende native digitaliMigrazione della piattaforma di dati9 maggio | 8am PT   Scopri la Lakehouse for Manufacturing Scopri come Corning sta prendendo decisioni critiche che riducono al minimo le ispezioni manuali, riducono i costi di spedizione e aumentano la soddisfazione dei clienti.Registrati oggi stessoFormazioneDocumentazioneFormazione e certificazioneDemoRisorseCommunity onlineUniversity AllianceEventiConvegno Dati + AIBlogLabsBeacons  26–29 giugno 2023 Partecipa di persona o sintonizzati per il live streaming del keynoteRegistratiClientiPartnerPartner cloudAWSAzureGoogle CloudPartner ConnectPartner per tecnologie e gestione dei datiProgramma Partner TecnologiciProgramma Data PartnerBuilt on Databricks Partner ProgramPartner di consulenza e SIProgramma partner consulenti e integratori (C&SI)Soluzioni dei partnerConnettiti con soluzioni validate dei nostri partner in pochi clic.RegistratiChi siamoLavorare in DatabricksIl nostro teamConsiglio direttivoBlog aziendaleSala stampaDatabricks VenturesPremi e riconoscimentiContattiScopri perché Gartner ha nominato Databricks fra le aziende leader per il secondo anno consecutivoRichiedi il reportProva DatabricksGuarda le demoContattiAccediJUNE 26-29REGISTER NOWMachine LearningAccelera i progetti AI con un approccio al Machine Learning incentrato sui datiProva gratuitaProgramma una demo Costruite il vostro modello di lingua grande come Dolly 26 April, 2023 | 9:00AM BST I 10AM CEST RegistratiUn approfondimento sul Machine Learning in DatabricksManaged MLFlowModel RegistryRuntime MLNotebook collaborativiFeature StoreAutoMLIntelligenza artificiale spiegabileRepositoryMonitoraggio di modelliModel ServingBasato su un'architettura lakehouse aperta, Databricks Machine Learning consente ai team ML di preparare ed elaborare dati, snellisce la collaborazione fra i team e standardizza tutto il ciclo di vita ML, dalla sperimentazione alla produzione.Oltre 6 milioni di dollari risparmiatiCONA Services usa Databricks per l'intero ciclo di vita del ML per ottimizzare la supply chain per centinaia di migliaia di negozi.Maggiori informazioni3,9 milioni di real risparmiatiVia sfrutta il machine learning per fare previsioni accurate della domanda, riducendo i costi di elaborazione del 25%.Maggiori informazioniOltre 50 milioni di dollari risparmiatiAmgen migliora la collaborazione nella data science per accelerare la scoperta di farmaci e ridurre i costi operativi.Maggiori informazioniSemplificare tutti gli aspetti dei dati per il MLPoiché Databricks ML è basato su una piattaforma lakehouse aperta con Delta Lake, il team di machine learning potrà accedere, esplorare e preparare qualsiasi tipo di dati in qualsiasi quantità. Le feature possono essere trasformate in pipeline di produzione con una modalità self-service senza dipendere dagli ingegneri dei dati.Automatizzare il tracciamento e la governance degli esperimentiManaged MLflow traccia automaticamente gli esperimenti e registra parametri, metriche, versioni di dati e codice, oltre agli artefatti dei modelli a ogni ciclo di addestramento. Si possono visualizzare velocemente cicli precedenti, confrontare i risultati e riprodurre un risultato passato, secondo necessità. Una volta individuata la versione migliore di un modello per la produzione, il modello può essere registrato nel Model Registry per semplificare i passaggi di consegne lungo tutto il ciclo di vita dello sviluppo.Gestisci l'intero ciclo di vita del modello, dai dati alla produzione... e ritornoUna volta registrati, i modelli addestrati possono essere gestiti in maniera collaborativa lungo tutto il ciclo di vita con Model Registry. Si possono gestire diverse versioni e i modelli possono passare attraverso diversi stadi, ad esempio sperimentazione, staging, produzione e archiviazione. La gestione del ciclo di vita si integra con i flussi di lavoro di approvazione e governance, con controlli di accesso basati sui ruoli. Commenti e notifiche via mail offrono un ambiente di collaborazione ricco per i team di gestione dei dati.Implementare modelli ML su larga scala con bassa latenzaImplementa modelli con un solo clic senza preoccuparti di gestione del server o vincoli dimensionali. Databricks consente di implementare i modelli come endpoint di API REST ovunque, con disponibilità in tutta l'impresa.Componenti del prodottoNotebook collaborativiI notebook di Databricks supportano in modo nativo Python, R, SQL e Scala, consentendo ai professionisti di lavorare insieme con i linguaggi e le librerie preferiti, per scoprire, visualizzare e condividere informazioni approfondite e dettagliate.Maggiori informazioniRuntime Machine LearningAccesso con un solo clic a cluster preconfigurati ottimizzati per ML, sostenuti da una distribuzione scalabile e affidabile dei framework ML più popolari (come PyTorch, TensorFlow e scikit-learn), con ottimizzazioni integrate per prestazioni impareggiabili su larga scala.Maggiori informazioniFeature StoreFacilita il riutilizzo di feature con una ricerca basata sulla loro provenienza, che sfrutta automaticamente le sorgenti di dati registrati. Le feature possono essere messe a disposizione per addestramento e serving con un'implementazione semplificata del modello che non richiede modifiche all'applicazione client.Maggiori informazioniAutoMLTutti gli utenti, dagli esperti di ML ai "citizen data scientist", possono contare su un approccio trasparente ad AutoML, che non solo offre il modello con le migliori prestazioni, ma genera anche codice per ulteriori perfezionamenti da parte degli esperti.Maggiori informazioniManaged MLFlowBasato su MLflow (la principale piattaforma open-source al mondo per il ciclo di vita ML), Managed MLflow accompagna velocemente i modelli ML dalla sperimentazione alla produzione, con volumi e livelli di sicurezza e affidabilità elevati.Maggiori informazioniServizio di modelli in produzioneSi possono servire modelli su qualsiasi scala con la semplicità di un clic, con l'opzione di sfruttare il calcolo serverless.Maggiori informazioniMonitoraggio di modelliLe prestazioni dei modelli possono essere monitorate, verificando come incidono sulle metriche di business in tempo reale. Databricks offre visibilità a 360 gradi e ricostruisce la provenienza dei modelli in produzione risalendo ai sistemi di dati sorgente, aiutando ad analizzare la qualità dei modelli e dei dati lungo tutto il ciclo di vita ML ed evidenziando eventuali problemi prima che producano danni rilevanti.Maggiori informazioniRepositoryCon Repos, gli ingegneri possono seguire i flussi di lavoro Git in Databricks, consentendo ai team di gestione dei dati di sfruttare flussi di lavoro CI/CD automatizzati e portabilità del codice.Maggiori informazioniMigrazione a DatabricksStanco dei silos di dati, della lentezza e dei costi esorbitanti di sistemi obsoleti come Hadoop e i data warehouse aziendali? Migra a Databricks Lakehouse, la piattaforma moderna per tutti i casi d'uso di gestione dei dati, analisi e AI.Migrazione a DatabricksRisorse Tutte le risorse di cui hai bisogno in un unico posto. Esplora la libreria di risorse per trovare e-book e video su data science e machine learning. Esplora risorseeBookThe Big Book of MLOpsScopri la nuova soluzione Delta SharingGuida alla migrazione: da Hadoop a DatabricksDemo e blogScopri le soluzioni Databricks Machine Learning5 mosse fondamentali per una migrazione efficace da Hadoop all'architettura lakehouseEventi virtualiAutoML: Machine Learning rapido e semplificato per tuttiEvento virtuale MLOps: Standardizing MLOps at ScaleAutomatizzare il ciclo di vita ML con Databricks Machine LearningEvento virtuale MLOps “Operationalizing Machine Learning at Scale”Costruire piattaforme di Machine LearningDelta Lake: la tecnologia alla base del LakehouseGuida passo-passo alla migrazione da HadoopPronto per cominciare?Prova Databricks gratisProdottoPanoramica della piattaformaPrezziTecnologia open-sourceProva DatabricksDemoProdottoPanoramica della piattaformaPrezziTecnologia open-sourceProva DatabricksDemoFormazione e supportoDocumentazioneGlossaryFormazione e certificazioneHelp CenterLegaleCommunity onlineFormazione e supportoDocumentazioneGlossaryFormazione e certificazioneHelp CenterLegaleCommunity onlineSoluzioniPer settoreServizi professionaliSoluzioniPer settoreServizi professionaliChi siamoChi siamoLavorare in DatabricksDiversità e inclusioneBlog aziendaleContattiChi siamoChi siamoLavorare in DatabricksDiversità e inclusioneBlog aziendaleContattiPosizioni aperte in DatabricksMondoEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. 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Partner Connect | DatabricksSkip to main contentPlattformDie Lakehouse-Plattform von DatabricksDelta LakeData GovernanceData EngineeringDatenstreamingData-WarehousingGemeinsame DatennutzungMachine LearningData SciencePreiseMarketplaceOpen source techSecurity & Trust CenterWEBINAR 18. Mai / 8 Uhr PT Auf Wiedersehen, Data Warehouse. Hallo, Lakehouse. Nehmen Sie teil, um zu verstehen, wie ein Data Lakehouse in Ihren modernen Datenstapel passt. Melden Sie sich jetzt anLösungenLösungen nach BrancheFinanzdienstleistungenGesundheitswesen und BiowissenschaftenFertigungKommunikation, Medien und UnterhaltungÖffentlicher SektorEinzelhandelAlle Branchen anzeigenLösungen nach AnwendungsfallSolution AcceleratorsProfessionelle ServicesDigital-Native-UnternehmenMigration der Datenplattform9. Mai | 8 Uhr PT   Entdecken Sie das Lakehouse für die Fertigung Erfahren Sie, wie Corning wichtige Entscheidungen trifft, die manuelle Inspektionen minimieren, die Versandkosten senken und die Kundenzufriedenheit erhöhen.Registrieren Sie sich noch heuteLernenDokumentationWEITERBILDUNG & ZERTIFIZIERUNGDemosRessourcenOnline-CommunityUniversity AllianceVeranstaltungenData + AI SummitBlogLabsBaken26.–29. Juni 2023 Nehmen Sie persönlich teil oder schalten Sie für den Livestream der Keynote einJetzt registrierenKundenPartnerCloud-PartnerAWSAzureGoogle CloudPartner ConnectTechnologie- und DatenpartnerTechnologiepartnerprogrammDatenpartner-ProgrammBuilt on Databricks Partner ProgramConsulting- und SI-PartnerC&SI-PartnerprogrammLösungen von PartnernVernetzen Sie sich mit validierten Partnerlösungen mit nur wenigen Klicks.Mehr InformationenUnternehmenKarriere bei DatabricksUnser TeamVorstandUnternehmensblogPresseAktuelle Unternehmungen von DatabricksAuszeichnungen und AnerkennungenKontaktErfahren Sie, warum Gartner Databricks zum zweiten Mal in Folge als Leader benannt hatBericht abrufenDatabricks testenDemos ansehenKontaktLoginJUNE 26-29REGISTER NOWPartner ConnectEntdecken und integrieren Sie Daten, Analysen und KI-Lösungen ganz unkompliziert in Ihr LakehouseDemos ansehenPartner Connect macht es Ihnen leicht, Daten-, Analyse- und KI-Tools direkt auf der Databricks-Plattform zu entdecken – und Lösungen, die Sie bereits nutzen, im Handumdrehen zu integrieren. Mit Partner Connect ist die Tool-Integration mit nur wenigen Klicks erledigt, und Sie haben die Funktionalität Ihres Lakehouse im Handumdrehen erweitert.Daten- und KI-Tools mit dem Lakehouse vernetzenVerbinden Sie Ihre bevorzugten Daten- und KI-Tools kinderleicht mit dem Lakehouse und nutzen Sie Analyseanwendungen aller ArtEntdecken Sie validierte Daten und KI-Lösungen für neue AnwendungsfälleEin zentraler Anlaufpunkt für geprüfte Partnerlösungen, damit Sie Ihre nächste Datenanwendung schneller erstellen könnenMit ein paar Klicks eingerichtet dank vorgefertigter IntegrationenPartner Connect vereinfacht Ihre Integrationen durch die automatische Konfiguration von Ressourcen wie Clustern, Token und Verbindungsdateien für eine Verbindung mit PartnerlösungenIhr Einstieg als PartnerDatabricks-Partner sind ideal positioniert, um Kunden schneller Analyseerkenntnisse zu liefern. Nutzen Sie die Entwicklungs- und Partnerressourcen von Databricks, um gemeinsam mit unserer offenen, Cloud-basierten Plattform zu wachsen.Partner werden„Partner Connect baut auf unserer langjährigen Partnerschaft auf und ermöglicht es uns, eine integrierte Erfahrung für unsere Unternehmen und Kunden zu schaffen. Mit Partner Connect bieten wir ein maßgeschneidertes Erlebnis, das es vielen Tausend Databricks-Kunden einfacher denn je macht, Erkenntnisse aus ihren Daten zu gewinnen, zusätzliche Analyseanwendungen zu entdecken und schneller Mehrwert aus ihrem Lakehouse zu generieren – einfach dadurch, dass sie Hunderte von Datenquellen mit ihrem Lakehouse verbinden.“– George Fraser, CEO FivetranDemosFivetranVernetzen Sie Daten aus über 180 beliebten Anwendungen, darunter auch SaaS-Anwendungen (Salesforce, Google Analytics usw.), mit dem LakehousedbtErste Schritte mit dbt Cloud und Databricks, um Datentransformationen zu erstellenPower BIAlle Ihre Benutzer von der Leistung und Technologie von Databricks Lakehouse profitieren lassenTableauTableau Desktop mit Databricks SQL verbinden und so allen Benutzern ein Data Lakehouse für moderne Analysen bietenRiveryVereinfachen Sie den Weg der Daten von der Erfassung über die Transformation bis zur Bereitstellung in Delta LakeLabelboxUnstrukturierte Daten für KI und Analytics im Lakehouse einfach vorbereitenProphecyErstellen und Bereitstellen von Spark- und Delta-Pipelines über eine visuelle Drag & Drop-OberflächeArcionDatenquellen mithilfe einer verteilten CDC-basierten Replikationsplattform mit dem Lakehouse verbindenKostenlos testenRessourcenBlogFebruar 2023 – Ankündigung neuer Partnerintegrationen in Partner ConnectSeptember 2022 – Einführung neuer Partnerintegrationen in Partner ConnectJuni 2022 – Ankündigung neuer Partnerintegrationen in Partner ConnectIhr Unternehmen mit Partner Connect auf Databricks zum Erfolg führenDokumentationDatabricks Partner Connect-LeitfadenMöchten Sie mehr wissen?Nutzen Sie die Entwicklungs- und Partnerressourcen von Databricks, um gemeinsam mit unserer offenen, Cloud-basierten Plattform zu wachsen.Partner werdenKontaktProduktPlatform OverviewPreiseOpen Source TechDatabricks testenDemoProduktPlatform OverviewPreiseOpen Source TechDatabricks testenDemoLearn & SupportDokumentationGlossaryWEITERBILDUNG & ZERTIFIZIERUNGHelp CenterLegalOnline-CommunityLearn & SupportDokumentationGlossaryWEITERBILDUNG & ZERTIFIZIERUNGHelp CenterLegalOnline-CommunityLösungenBy IndustriesProfessionelle ServicesLösungenBy IndustriesProfessionelle ServicesUnternehmenÜber unsKarriere bei DatabricksDiversität und InklusionUnternehmensblogKontaktUnternehmenÜber unsKarriere bei DatabricksDiversität und InklusionUnternehmensblogKontaktWeitere Informationen unter „Karriere bei DatabricksWeltweitEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. 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Alon Gubkin - Data + AI Summit 2023 | DatabricksThis site works best with JavaScript enabled.HomepageSAN FRANCISCO, JUNE 26-29VIRTUAL, JUNE 28-29Register NowSession CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingAlon GubkinCo-Founder & CTO at AporiaBack to speakersWriting code from the age of 7, Alon has a fairly healthy obsession with programming. He’s also an avid fan of all things machine learning, software architecture, video games, and biology. At the age of 17, Alon created his first successful open source project, a video chat platform for mobile. Before joining Aporia, Alon served as an R&D Lead in the elite 81 intelligence unit of the Israel Defense Forces.Looking for past sessions?Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.Explore the session archiveRegister today to save your spotRegister NowHomepageOrganized By Session CatalogTrainingSpeakers2022 On DemandWhy AttendSpecial EventsSponsorsAgendaVirtual ExperiencePricingFAQEvent PolicyCode of ConductPrivacy NoticeYour Privacy ChoicesYour California Privacy RightsApache, Apache Spark, Spark, and the Spark logo are trademarks of the Apache Software Foundation. The Apache Software Foundation has no affiliation with and does not endorse the materials provided at this event.
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문의하기 - DatabricksSkip to main content플랫폼Databricks 레이크하우스 플랫폼Delta Lake데이터 거버넌스데이터 엔지니어링데이터 스트리밍데이터 웨어하우징데이터 공유머신 러닝데이터 사이언스가격Marketplace오픈 소스 기술보안 및 신뢰 센터웨비나 5월 18일 / 오전 8시(태평양 표준시) 안녕, 데이터 웨어하우스. 안녕하세요, 레이크하우스입니다. 데이터 레이크하우스가 최신 데이터 스택에 어떻게 부합하는지 이해하려면 참석하십시오. 지금 등록하세요솔루션산업별 솔루션금융 서비스의료 서비스 및 생명 공학제조커뮤니케이션, 미디어 및 엔터테인먼트공공 부문리테일모든 산업 보기사용 사례별 솔루션솔루션 액셀러레이터프로페셔널 서비스디지털 네이티브 비즈니스데이터 플랫폼 마이그레이션5월 9일 | 오전 8시(태평양 표준시)   제조업을 위한 레이크하우스 살펴보기 코닝이 수동 검사를 최소화하고 운송 비용을 절감하며 고객 만족도를 높이는 중요한 결정을 내리는 방법을 들어보십시오.지금 등록하세요학습관련 문서교육 및 인증데모리소스온라인 커뮤니티University Alliance이벤트Data + AI Summit블로그LabsBeacons2023년 6월 26일~29일 직접 참석하거나 키노트 라이브스트림을 시청하세요.지금 등록하기고객파트너클라우드 파트너AWSAzureGoogle CloudPartner Connect기술 및 데이터 파트너기술 파트너 프로그램데이터 파트너 프로그램Built on Databricks Partner Program컨설팅 & SI 파트너C&SI 파트너 프로그램파트너 솔루션클릭 몇 번만으로 검증된 파트너 솔루션과 연결됩니다.자세히회사Databricks 채용Databricks 팀이사회회사 블로그보도 자료Databricks 벤처수상 실적문의처Gartner가 Databricks를 2년 연속 리더로 선정한 이유 알아보기보고서 받기Databricks 이용해 보기데모 보기문의처로그인JUNE 26-29REGISTER NOW문의교육이나 지원에 도움이 필요하신가요? 기타 리소스를 참조하세요.관련 문서AWS, Azure 또는 Google Cloud에 관한 Databricks의 기술 문서 읽어보기Databricks 커뮤니티Databricks 사용자, 전문가와 논의, 공유하고 네트워킹하기교육강사 주도형, 자기 주도형 교육을 통해 Databricks 레이크하우스 플랫폼을 정복하거나 공인 개발자 되기지원이미 고객이신가요? 기술적 문제나 결제 문제가 생긴 경우 여기를 클릭하세요지사 위치세계 각지의 Databricks 지사 위치를 확인하고 문의지식 기반Databricks 제품과 서비스에 관해 가장 자주 하는 질문에 대한 간단한 답변 찾기제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모제품플랫폼 개요가격오픈 소스 기술Databricks 이용해 보기데모학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티학습 및 지원관련 문서용어집교육 및 인증헬프 센터법적 고지온라인 커뮤니티솔루션산업 기준프로페셔널 서비스솔루션산업 기준프로페셔널 서비스회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처회사Databricks 소개Databricks 채용다양성 및 포용성회사 블로그문의처Databricks 채용 확인하기WorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc. 160 Spear Street, 13th Floor San Francisco, CA 94105 1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark 및 Spark 로고는 Apache Software Foundation의 상표입니다.개인 정보 보호 고지|이용약관|귀하의 개인 정보 선택|귀하의 캘리포니아 프라이버시 권리