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增强医疗保健洞察力:采用 Databricks 的统一 Lakehouse 方法.pdf

上传人: Fl****zo 编号:718884 2025-06-22 42页 2.63MB

1、Empowering Healthcare Insights:A Unified Lakehouse Approach With DatabricksUK Healthcare ProviderMIKE DOBING,BIANCA STRATULAT9thJune 20253A Proof Of Concept into the creation of a single,virtualised data layer to unify disparate data platforms to support the Federated Data Platform4What Well Be Cove

2、ring Background POC Architecture POC PhasesData PrepCross Cloud IntegrationConnecting to PalantirChallenges and Late Changes Solution Architecture Moving Forward Databricks+Palantir Q and A5The TeamA Proof Of Concept into the creation of a single,virtualised data layer to unify disparate health data

3、 platforms to support a federated data platformMike DobingBianca StratulatWill NossiterGeoff JonesJoseph LeeRich McIntyreBackground 7BackgroundA Proof Of Concept into the creation of a single,virtualised data layer to unify disparate data platforms to support the Federated Data PlatformOur Healthcar

4、e provider are currently delivering a complex,impactful data platform project called the Federated Data Platform(FDP).This platform aims to improve the lives of citizens in the UK by enhancing patient care and increasing efficiency.The FDP itself is based on the Palantir platform,however in order ma

5、ximize value and deliver impactful results,the customer needed an approach to unify and serve a very large,complex data estate and assets into the FDP in a secure,performant way and without creating lots of extra data silos.With that,and comprised of a joint working team from Databricks,BJSS,Palanti

6、r and of course the customer themselves-the Virtualised Data Layer was born.In short-the VDL is a virtual layer,unifying disparate data estates across Azure and AWS and in various services and storage layers-all through a single governance plane in Unity Catalog.Virtualised Data LayerPOC Architectur

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本文主要内容是关于英国一家医疗保健提供商通过与Databricks、BJSS、Palantir等合作,构建了一个名为“虚拟化数据层”(VDL)的概念验证项目。关键点如下: 1. **项目目标**:创建一个单一、虚拟化的数据层,以统一支持Federated Data Platform(FDP)的分散数据平台。 2. **架构概述**:VDL整合了Azure和AWS上的数据资产,通过Unity Catalog实现单一治理平面。 3. **核心组件**:包括基于AWS的Common Data Platform(CDP)和基于Azure的Unified Data Access Layer(UDAL)。 4. **跨云集成**:通过Delta Sharing实现UDAL与CDP之间的数据预准备和共享。 5. **连接Palantir**:采用虚拟表方法,通过S3或Databricks连接器与Unity Catalog连接,实现数据在Palantir中的高性能访问。 6. **挑战与解决方案**:项目后期引入了Databricks连接器,减少了数据移动,提供了更直接的Unity Catalog访问。 7. **未来方向**:将进一步整合AWS上的数据处理服务,探索Hive Metastore联合,以引入外部数据资产。 8. **Databricks + Palantir合作**:提供无缝集成,加速价值实现,支持从数据到最终用户应用程序的无缝体验。 通过这些措施,项目旨在减少数据复制,提高数据发现性,并实现实时、安全、高效的数据共享。
"多云整合,如何实现?" "数据湖联邦,效能几何?" "Databricks+Palantir,怎样双赢?"
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