Fabric: Unified Data and Analytics for Beginners

Modern data environments often require juggling multiple disconnected tools for engineering, warehousing, and business intelligence. Fabric solves this by uniting these workflows into a single, cohesive SaaS platform. This text-based course guides you through the foundational concepts of Fabric, helping you transition from scattered data pipelines to a unified analytics ecosystem. You will learn how to ingest, store, process, and visualize data efficiently without the complexity of managing multiple separate services. What you'll learn: - Understand the core architecture of Fabric, including OneLake, Lakehouses, and Warehouses. - Configure data ingestion pipelines using Data Factory and Dataflow Gen2. - Process and transform large datasets with Spark notebooks and SQL endpoints. - Build interactive reports and dashboards by connecting Power BI directly to your unified data store. - Implement real-time analytics and event routing for streaming data. - Apply security, governance, and sharing best practices across your workspace. The journey begins with essential terminology and architecture concepts, ensuring a solid foundation. From there, you will progress through structured text-based lessons detailing data integration, storage strategies, and visualization techniques. This course is designed for beginner data analysts, aspiring data engineers, and business intelligence professionals. No prior experience with Fabric is required, though a basic understanding of data concepts is helpful. Start reading today to simplify your data operations and master the next generation of unified analytics.