Fabric Foundations and Environment Management

This course introduces the core concepts, architecture, and workflows that define modern data engineering using Microsoft Fabric. Learners develop a working understanding of how data engineers ingest, organize, transform, and prepare data so it can support analytics, reporting, and AI workloads. The course focuses on the early stages of the data engineering lifecycle: understanding Fabric architecture, working with Lakehouses, ingesting data from multiple sources, and preparing structured datasets that support downstream analytics. Rather than treating Fabric tools as isolated features, the course emphasizes how these tools work together within a unified data platform. Learners explore how data engineers move data from raw ingestion to structured, analytics-ready datasets while maintaining reliability, scalability, and data quality. By the end of the course, learners understand how Fabric’s Lakehouse architecture, Dataflows Gen2, and integration workflows support end-to-end data engineering pipelines.