Beginning Fabric: Unified Data Analytics and Engineering

Modern data environments often require juggling multiple disconnected tools for storage, engineering, and reporting. Fabric simplifies this complex landscape by uniting data integration, engineering, and business intelligence into a single, cohesive platform. In this text-only course, you will learn how to navigate this unified analytics platform to streamline your entire data workflow. You will progress from understanding core components like OneLake to building efficient data transformation pipelines and preparing data for reporting. What you'll learn: - Understand the core architecture of Fabric, including OneLake, Lakehouses, and Warehouses - Ingest and transform diverse data sources using Data Factory pipelines and Dataflows - Process and clean large datasets using Synapse Data Engineering concepts - Configure security, sharing, and governance settings across your data assets - Prepare optimized semantic models for seamless reporting and business intelligence - Apply modern data practices, including basic version control and collaborative workflows The course begins with essential data concepts and a tour of the Fabric workspace, before guiding you through practical ingestion, transformation, and reporting scenarios. You will read detailed explanations and code snippets to build a solid foundation in modern data architecture. This course is designed for beginner data analysts, database administrators, and aspiring data engineers who want to learn unified analytics. No prior experience with Fabric is required. Start reading today to simplify your data operations and master modern unified analytics.