Microsoft Fabric promises a unified analytics platform with OneLake, Lakehouses, Semantic Models, and tight Power BI integration. Sounds like the silver bullet for every data problem—until performance drops, costs spike, or your Lakehouse becomes a data swamp.

In this session, we tackle the hype head-on. Fabric is powerful, but success depends on knowing what to use and when. We’ll explore the real-world tradeoffs of working with massive volumes of data, Direct Lake vs. Import, how Semantic Models can make or break performance, and how Notebooks fit into serious data workflows.

You’ll walk away with a clearer understanding of how to design for scale, optimize performance, and avoid common mistakes when building in Fabric. No magic—just solid, informed decision-making.