Exercise - Govern analytics data in Microsoft Fabric
In a growing analytics environment, data assets multiply quickly across workspaces. Lakehouses, semantic models, and reports are created by different teams, and without governance, it becomes difficult to tell which assets are trustworthy and ready for organizational use. Governance practices like endorsement, documentation, and lineage analysis help users find and trust the right data.
Microsoft Fabric provides built-in governance capabilities that don't require additional licensing or external tools. You can promote items to signal their readiness, add descriptions to improve discoverability, and use the OneLake catalog to monitor governance coverage across your data estate. Lineage views and impact analysis show how data flows between items, helping you understand the consequences of changes before you make them.
In this exercise, you create a lakehouse and semantic model, then apply governance practices including endorsement, documentation, and lineage analysis. You use the OneLake catalog to explore governance insights and discover how these signals make your data estate more trustworthy.
Note
You need access to a Fabric-enabled workspace to complete this exercise. For information about a trial license, see Getting started with Fabric.
This lab takes approximately 30 minutes to complete.
Launch the exercise and follow the instructions.
