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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.

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