Microsoft Fabric: Getting Started with Semantic Models

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Semantic models in Fabric empower organizations to organize, analyze, and derive meaningful insights from complex data. They enable efficient data structuring, seamless integration, and optimized performance. In this course, learn the fundamentals of Fabric semantic models, including how to work with them, their structure and components, and the different storage modes. Next, discover how relationships in semantic models connect data and enable meaningful insights, how to store data using normalized or denormalized schemas, and star and snowflake schemas. Finally, discover how to create fact and dimension tables, model a star schema structure in Fabric, manage slowly changing dimensions to track historical changes, and create hierarchies. This course is part of a series that prepares learners for Exam DP-600: Implementing Analytics Solutions Using Microsoft Fabric.