Govern analytics data in Microsoft Fabric

  • Module
  • 7 Units
Intermediate
Data Engineer
Microsoft Fabric

Implement Fabric-native governance practices including data classification, sensitivity labels, endorsement, and documentation. Ensure data assets are trustworthy and governed for both human and AI consumption.

Learning objectives

By the end of this module, you're able to:

  • Apply data classification and sensitivity labels to Fabric items.
  • Use endorsement (promoted, certified, and master data) as a governance mechanism.
  • Implement documentation practices for data discoverability.
  • Describe how governance controls affect AI agent data consumption.
  • Use OneLake catalog features for data estate management.

Prerequisites

  • Experience working with Microsoft Fabric workspaces.
  • Familiarity with security concepts in Microsoft Fabric.
Start