The core principle establishes that Row Level Security (RLS) can be effectively implemented within a Direct Lake semantic model by decoupling row filtering logic from the underlying data source access via shared cloud connections, rather than relying on workspace permissions or direct query fallbacks. This mechanism relies on defining security filters exclusively at the Semantic Model layer to restrict visibility based on user roles while maintaining high-performance direct lakehouse reads without granting users broader Lakehouse object-level privileges. The domain is enterprise data governance and self-service analytics within the Microsoft Fabric ecosystem, specifically addressing the theoretical constraints of identity management in unified cloud-to-data-warehouse architectures where authentication passes through but authorization logic resides solely in the model schema.
The core principle establishes that Row Level Security (RLS) can be effectively implemented within a Direct Lake semantic model by decoupling row filtering logic from the underlying data source acces…