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https://www.databricks.com/dataaisummit/speaker/erni-durdevic/#
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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.
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https://www.databricks.com/p/ebook/driving-innovation-and-transformation-in-the-federal-government-with-data-ai
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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
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https://www.databricks.com/dataaisummit/speaker/amir-skovronik/#
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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.
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https://www.databricks.com/blog/2021/02/17/announcing-the-launch-of-databricks-on-google-cloud.html
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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
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https://www.databricks.com/dataaisummit/speaker/saad-ansari/#
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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.
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https://www.databricks.com/jp/solutions/industries/financial-services
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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 (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc.
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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.
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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
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https://www.databricks.com/company/newsroom/press-releases/databricks-and-booz-allen-team-to-bring-unified-analytics-to-us-government-clients
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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
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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.
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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
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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.”
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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.
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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.
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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.
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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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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
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