Policy Weaver: Mirror Cross-Platform Data Access Policies into Microsoft Fabric

As organizations increasingly adopt hybrid data architectures, maintaining consistent access control across platforms becomes a critical challenge. While data mirroring ensures data availability, it often neglects the synchronization of access policies—leaving security gaps and compliance risks. Policy Weaver addresses this gap by automating the synchronization of data access policies from platforms like Azure Databricks and Snowflake into Microsoft Fabric’s OneLake Security model.
This talk introduces Policy Weaver, a Python-based accelerator that resolves effective read privileges across nested roles and groups, supports column-level security, and integrates securely with Azure Key Vault. Attendees will learn how Policy Weaver simplifies policy mapping, supports both role-based and table-based configurations, and ensures consistent governance across mirrored datasets. Real-world setup examples for Databricks and Snowflake will be shared, along with insights into upcoming features like row-level security extraction.
Join us to explore how Policy Weaver can streamline your data governance workflows and enhance security posture across your data estate.

Attendees will learn how Policy Weaver simplifies policy mapping, supports both role-based and table-based configurations, and ensures consistent governance across mirrored datasets. Real-world setup examples for Databricks and Snowflake will be shared, along with insights into upcoming features like row-level security extraction.