Organizing a Fabric Lakehouse with Medallion Architecture

Managing raw data and turning it into clean, business-ready insights can be a complex challenge without a structured framework. This text-based course guides you through implementing the industry-standard medallion architecture inside a Fabric lakehouse to build robust data pipelines. You will progress from understanding foundational data lake concepts to organizing data systematically into Bronze, Silver, and Gold layers. By learning how to clean, enrich, and model your data at each stage, you will establish a reliable, single source of truth for your organization's analytical needs. What you'll learn: - Understand the core principles of medallion architecture and lakehouse design - Configure the Bronze layer to ingest and store raw, unaltered data - Clean and enrich data in the Silver layer using validation rules and schema enforcement - Design the Gold layer with aggregated, business-ready star schemas - Apply modern Delta Lake optimization techniques for faster query performance - Implement basic data governance and security practices across all layers. You will begin by learning key terminology and the architectural setup of Fabric before diving into step-by-step written guides and SQL/PySpark code patterns for each data layer. This course is designed for data beginners, aspiring data engineers, and analysts looking to build structured data lakes with no prior lakehouse experience required. Start organizing your data modernly and efficiently today.