https://community.databricks.com/t5/community-articles/building-pci-compliant-lakehouses-governance-challenges-then-and/m-p/149532#M1035 <P>This article continues a technical deep dive into building large-scale Lakehouse architectures.</P><P>The original platform processed billions of records across multiple markets and operated under <STRONG>PCI-DSS compliance</STRONG> requirements — a significant engineering constraint. Compliance influenced core architectural decisions, from environment segregation to access control and data governance.</P><P>While these constraints added complexity, they also shaped strong design patterns around data isolation, governance, and operational discipline.</P><P><STRONG>Hive Metastore</STRONG> and workspace-level segregation were used to meet governance requirements at the time. The approach worked, but it introduced operational overhead and limited scalability as the platform expanded across countries and teams.</P><P>Modern capabilities like <STRONG>Unity Catalog</STRONG> show how centralized governance, metadata-driven policies, and multi-workspace control can simplify compliance-adjacent challenges while improving visibility and operational consistency.</P><P>Even if your domain isn’t regulated finance, the architectural lessons are broadly applicable:</P><UL><LI><P>Centralized governance reduces operational drift</P></LI><LI><P>Metadata-driven policies improve consistency</P></LI><LI><P>Multi-workspace models support scalable team structures</P></LI><LI><P>Strong data controls complement engineering velocity</P></LI><LI><P>Governance should enable, not block, data productivity</P></LI></UL><P>If you work with Lakehouse platforms, data governance, or large-scale data architectures, these patterns matter.</P><P><span class="lia-unicode-emoji" title=":link:">🔗</span> Full article: <A class="" href="https://medium.com/@wesley.felipe/databricks-lakehouse-without-the-workarounds-part-3-governance-and-compliance-99afa8adf767" target="_blank" rel="noopener">https://medium.com/@wesley.felipe/databricks-lakehouse-without-the-workarounds-part-3-governance-and-compliance-99afa8adf767</A></P> Fri, 27 Feb 2026 21:09:56 GMT wesleyfelipe 2026-02-27T21:09:56Z https://community.databricks.com/t5/community-articles/building-pci-compliant-lakehouses-governance-challenges-then-and/m-p/149532#M1035 <P>This article continues a technical deep dive into building large-scale Lakehouse architectures.</P><P>The original platform processed billions of records across multiple markets and operated under <STRONG>PCI-DSS compliance</STRONG> requirements — a significant engineering constraint. Compliance influenced core architectural decisions, from environment segregation to access control and data governance.</P><P>While these constraints added complexity, they also shaped strong design patterns around data isolation, governance, and operational discipline.</P><P><STRONG>Hive Metastore</STRONG> and workspace-level segregation were used to meet governance requirements at the time. The approach worked, but it introduced operational overhead and limited scalability as the platform expanded across countries and teams.</P><P>Modern capabilities like <STRONG>Unity Catalog</STRONG> show how centralized governance, metadata-driven policies, and multi-workspace control can simplify compliance-adjacent challenges while improving visibility and operational consistency.</P><P>Even if your domain isn’t regulated finance, the architectural lessons are broadly applicable:</P><UL><LI><P>Centralized governance reduces operational drift</P></LI><LI><P>Metadata-driven policies improve consistency</P></LI><LI><P>Multi-workspace models support scalable team structures</P></LI><LI><P>Strong data controls complement engineering velocity</P></LI><LI><P>Governance should enable, not block, data productivity</P></LI></UL><P>If you work with Lakehouse platforms, data governance, or large-scale data architectures, these patterns matter.</P><P><span class="lia-unicode-emoji" title=":link:">🔗</span> Full article: <A class="" href="https://medium.com/@wesley.felipe/databricks-lakehouse-without-the-workarounds-part-3-governance-and-compliance-99afa8adf767" target="_blank" rel="noopener">https://medium.com/@wesley.felipe/databricks-lakehouse-without-the-workarounds-part-3-governance-and-compliance-99afa8adf767</A></P> Fri, 27 Feb 2026 21:09:56 GMT https://community.databricks.com/t5/community-articles/building-pci-compliant-lakehouses-governance-challenges-then-and/m-p/149532#M1035 wesleyfelipe 2026-02-27T21:09:56Z