Implementing a Lakehouse with Fabric

Organizations today need a unified, scalable way to store and analyze massive volumes of data without the complexity of traditional data warehouses. This course introduces you to the modern lakehouse architecture using Fabric, bridging the gap between data lakes and data warehousing. Through clear, step-by-step written explanations and practical code examples, you will transition from understanding core lakehouse concepts to configuring and querying your own data store. You will learn how to organize data efficiently, run scalable transformations, and prepare data for downstream reporting. What you'll learn: - Understand the foundational concepts of lakehouse architecture and how Fabric unifies data storage and analytics. - Configure a Fabric lakehouse from scratch, including files, tables, and shortcut integration. - Apply the medallion architecture (Bronze, Silver, and Gold layers) to structure and clean your data. - Write Spark and SQL queries to transform raw data into production-ready delta tables. - Implement modern data engineering practices, including Delta Lake optimization and direct lake connectivity. - Manage security, schemas, and basic governance within your Fabric environment. The course begins with foundational definitions of lakehouse theory before moving into hands-on configuration, data ingestion pipelines, and query optimization techniques. You will read through practical scenarios and analyze real-world data engineering workflows. This text-only course is designed for beginner data analysts, database administrators, and aspiring data engineers. No prior experience with Fabric is required, though a basic familiarity with SQL concepts is helpful. Start reading today to build your first modern data lakehouse.