This course covers how to prepare, enrich, and serve data for analysis by consumers such as data analysts, report developers, and AI agents. The course focuses on designing dimensional models and transforming data by using dataflows, notebooks, and T-SQL across lakehouses, warehouses, and eventhouses in Microsoft Fabric. The course also covers building and optimizing semantic models, managing the analytics development lifecycle, and enforcing security and governance across data assets.
This course is intended for data professionals with experience in data modeling, transformation, and analytics. Learners should have prior experience translating business requirements into analytical measures by using Structured Query Language (SQL) or Data Analysis Expressions (DAX). Experience building semantic models and reports in Power BI is recommended. Familiarity with Kusto Query Language (KQL) and Python is also helpful but not required.
Explore analytics data stores in Microsoft Fabric
Design and transform analytics data in Microsoft Fabric
Design and manage semantic models in Microsoft Fabric
Prepare AI-ready analytics data in Microsoft Fabric
Secure and govern analytics data in Microsoft Fabric
SCARICA MODULO ISCRIZIONE
