Fabric Lakehouse Fundamentals: Build Modern Data Architectures

Modern organizations need unified, scalable data solutions, but managing separate data lakes and warehouses often leads to complex, fragmented pipelines. Building a Lakehouse in Fabric solves this by combining the best of data lakes and data warehouses into a single, cohesive SaaS platform. This text-based course guides you through the core concepts of lakehouse architecture. You will gain the knowledge to ingest raw data, transform it using scalable frameworks, and structure it for high-performance reporting, all within a unified workspace. What you'll learn: Understand the foundational concepts of Lakehouse architecture and how Fabric unifies data storage; Configure shortcuts and data pipelines to ingest diverse data sources into OneLake; Apply the Medallion architecture (Bronze, Silver, and Gold layers) to organize and clean your data; Manage delta tables using Delta Parquet formats and optimize query performance; Write Spark and SQL queries to analyze data directly within the lakehouse environment; Implement secure data access and explore Direct Lake mode for seamless reporting. You will start by exploring basic terminology and the core components of Fabric's unified storage. From there, the written guides walk you through ingestion strategies, data transformation workflows, and optimization techniques, concluding with practical scenarios for querying and securing your data. This course is designed for beginner data analysts, database administrators, and aspiring data engineers who want to build modern data platforms. No prior experience with Fabric is required, though a basic understanding of data concepts is helpful. Start reading today to master modern lakehouse design and streamline your organization's data workflows.