In this session, we’ll explore how OneLake security transforms data governance through a unified, bottom-up security approach. Learn how this solution addresses previous limitations and provides consistent security across your entire data estate.

Agenda:
• Historical challenges with Fabric security implementation
• Limitations of previous security models
• Introduction to OneLake security architecture
• How OneLake security resolves inherited vs. overwritten permissions
• Administrative benefits and simplified governance
• Business value across organizations of all sizes

Prior to OneLake security, Microsoft Fabric users faced significant challenges implementing consistent Row-Level Security (RLS) and Object-Level Security (OLS) across their data estates. Despite Fabric’s promise to unify the data analytics experience, security remained siloed between different Fabric components, creating confusion about inheritance patterns and best practices throughout the data lineage.

OneLake security addresses these challenges by implementing a logical, unified security model compatible with all Fabric engines. As a single hierarchical file storage system, OneLake eliminates data duplication and establishes a true bottom-up security approach where permissions configured at the data lake level cascade through the entire system to the end user.

This session demonstrates how organizations can now centrally configure and manage RLS and OLS on structured data at the foundation level, with all Fabric items inheriting these rules consistently. We’ll examine the practical implementation of this model, explore real-world benefits, and demonstrate how OneLake security delivers value for organizations of all sizes by simplifying administration while strengthening data governance.