Microsoft Fabric brings together multiple analytical engines, including the Lakehouse, Data Warehouse, KQL Database, and Real-Time Intelligence, on top of a unified OneLake architecture. But with all these options, how do you choose the right one for your solution?

In this session, we’ll break down the architectural foundations of Fabric and demystify when to use each compute experience. You’ll learn how Delta Lake, shortcuts, dataflows, and medallion architecture influence your design choices; how OneLake enforces a unified, open, and governed storage layer; and how to build end-to-end workloads that flow from ingestion to transformation to semantic modeling in Power BI.

Whether you're modernizing an enterprise data platform, moving from Synapse or Azure Databricks, or designing greenfield analytics, this session will give you the clarity you need to make smart architectural decisions. You’ll leave with actionable patterns for ingestion, transformation, and semantic modeling, and real-world guidance to pick the right Fabric experience based on performance, cost, scalability, governance, and integration needs.