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PII, Purview, and Private Endpoints: Governing Data in Hybrid Databricks-Fabric Setups

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Content provided by DataQubi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataQubi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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In this deep-dive episode, we explore the complexities—and solutions—of managing data governance across a hybrid architecture combining Azure Databricks with Unity Catalog and Microsoft Fabric with OneLake. If your organization handles PII across cloud platforms, this conversation is for you.

We unpack:

  • Why the lack of private endpoint integration between Unity Catalog and Fabric’s OneLake creates governance gaps
  • How Microsoft Purview can become your unified metadata and policy enforcement layer, avoiding duplication and inconsistencies
  • What role Unity Catalog plays in fine-grained, VNet-confined PII governance
  • Why you should minimize reliance on OneLake Catalog for sensitive data governance
  • How GitHub Copilot and Azure SRE Agent can automate metadata management, enforce compliance, and even fix RBAC violations automatically
  • Four governance architecture options—and why centralizing in Purview is the top recommendation
  • A cost-benefit analysis for enterprises evaluating whether the complexity is worth it

We end with practical steps for getting started, including setting up scanning rules, securing data flows, and creating automated anonymization pipelines.

Whether you're a data architect, CISO, or governance lead, this episode will arm you with a clear strategy to govern hybrid data platforms securely and efficiently.

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

  • Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
  • Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

  continue reading

18 episodes

Artwork
iconShare
 
Manage episode 489213860 series 3656088
Content provided by DataQubi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataQubi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send us a text

In this deep-dive episode, we explore the complexities—and solutions—of managing data governance across a hybrid architecture combining Azure Databricks with Unity Catalog and Microsoft Fabric with OneLake. If your organization handles PII across cloud platforms, this conversation is for you.

We unpack:

  • Why the lack of private endpoint integration between Unity Catalog and Fabric’s OneLake creates governance gaps
  • How Microsoft Purview can become your unified metadata and policy enforcement layer, avoiding duplication and inconsistencies
  • What role Unity Catalog plays in fine-grained, VNet-confined PII governance
  • Why you should minimize reliance on OneLake Catalog for sensitive data governance
  • How GitHub Copilot and Azure SRE Agent can automate metadata management, enforce compliance, and even fix RBAC violations automatically
  • Four governance architecture options—and why centralizing in Purview is the top recommendation
  • A cost-benefit analysis for enterprises evaluating whether the complexity is worth it

We end with practical steps for getting started, including setting up scanning rules, securing data flows, and creating automated anonymization pipelines.

Whether you're a data architect, CISO, or governance lead, this episode will arm you with a clear strategy to govern hybrid data platforms securely and efficiently.

Support the show

Thank you for tuning in to "Analyze Happy: Crafting Your Data Estate"!
We hope you enjoyed today’s deep dive. If you found this episode helpful, don’t forget to subscribe for more insights on building modern data estates with Microsoft technologies like Fabric, Azure Databricks, and Power Platform.

Connect with Us:

  • Have a question or topic you’d like us to cover? Reach out on linkedin.com/company/dataqubi or [email protected]
  • Visit our website at www.dataqubi.com or episode resources, show notes, and additional tips on data governance, AI transformation, and best practices.

Stay Ahead:
Check out the Microsoft Learn portal for free training on Azure IoT, Fabric, and more, or explore the Azure Databricks community for the latest updates. Let’s keep crafting data solutions that fit your organization’s culture and tech landscape—happy analyzing until next time!

  continue reading

18 episodes

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