Many organizations struggle to connect enterprise data governance frameworks with the realities of modern analytics platforms. Data governance teams speak in terms of stewardship, metadata, quality, and ownership, while analytics teams focus on lakehouses, semantic models, dashboards, and self-service reporting. The result is often a disconnect between governance strategy and implementation.

This session bridges that gap by mapping core DAMA Data Management Body of Knowledge (DMBOK) principles to practical capabilities within Microsoft Fabric and Power BI. Attendees will learn how governance concepts such as data stewardship, metadata management, data quality, and master data translate into real-world decisions about OneLake, Lakehouses, Data Pipelines, and Power BI reporting environments.

You'll leave knowing how to operationalize governance:
- Map DAMA DMBOK concepts to Microsoft Fabric capabilities
- Understand how governance is embedded within modern analytics platforms
- Identify governance controls that improve trust without reducing agility
- Build a practical roadmap for implementing governed self-service analytics