This course focuses on preparing integrated datasets for analytics, reporting, and business intelligence workloads within Microsoft Fabric. Learners explore how data engineers structure datasets so they can be efficiently queried, modeled, and used by analytics tools such as Power BI and SQL endpoints. The course introduces key concepts that transform integrated datasets into analytics-ready data assets, including dataset structure, modeling considerations, and query workflows.
Learners examine how Lakehouse tables and Fabric Warehouses support analytical workloads and how structured datasets enable reliable reporting and decision-making. Through practical scenarios and guided demonstrations, learners develop an understanding of how data engineers prepare datasets for analytical consumption, ensuring that datasets are reliable, accessible, and optimized for downstream analytics tools. The course concludes with a portfolio project in which learners prepare and validate an analytics-ready dataset within a Fabric environment.
