DP-600 SQL vs KQL vs DAX in Microsoft Fabric Explained

About this video

Microsoft Fabric provides multiple ways to query and analyze data, but choosing the correct query surface is a key architectural decision for analytics engineers. In this video, we break down the four major query approaches covered in the DP-600 Microsoft Certified: Fabric Analytics Engineer Associate exam: - Visual Query Editor - T-SQL - Kusto Query Language (KQL) - Data Analysis Expressions (DAX) You’ll learn where each technology belongs: - Visual Query Editor for low-code exploration and shaping workflows - T-SQL for relational transformations, views, and warehouse logic - KQL for real-time event analytics, telemetry, and time-series analysis - DAX for business calculations inside Power BI Semantic Models We’ll also discuss common design mistakes, including: - Using DAX to fix data quality problems - Rebuilding the same business logic in multiple layers - Choosing tools based only on familiarity - Ignoring execution boundaries between Fabric engines For DP-600 preparation, understanding where logic should execute is more important than memorizing syntax. This guide focuses on the architectural thinking required to build scalable, reusable, and optimized Microsoft Fabric analytics solutions. #DP600 #MicrosoftFabric #FabricAnalyticsEngineer