Microsoft Fabric for Data Engineers

Microsoft Fabric is a unified analytics platform that consolidates what used to be five or six separate products into a single coherent stack. Power BI, Synapse, Data Factory, Azure Data Explorer, and the underlying storage layer are now one product with one security model, one capacity model, and one governance story. That consolidation is the story. It is also the source of most of the confusion around Fabric, because the pieces exist under a new name but behave much like their predecessors. Microsoft Fabric for Data Engineers is a practical guide to that platform — not the marketing narrative, not the surface-level feature tours, but the engineering reality of a system that consolidates five products into one and bills by capacity rather than by query. You'll go from the architecture — OneLake, workspaces, capacities, and governance — into the data engineering stack: Data Factory pipelines, Spark notebooks, lakehouses, and Delta Lake with the medallion architecture. Part III covers analytics and real-time: Fabric warehouses and T-SQL, DirectLake semantic models, Real-Time Intelligence with Eventstream and KQL, and Data Activator for automated actions. Part IV is production and scale: security with Purview and sensitivity labels, CI/CD with deployment pipelines and Git integration, capacity planning and cost engineering, and three closing case studies.