
Stuck translating Excel skills to Power BI's alien data models and DAX? This space delivers weekly breakdowns of real Fabric updates, Copilot DAX generators, and Direct Lake shortcuts that fix broken refreshes and inherited query messes. Open Power BI with Excel-level confidence and ship dashboards your boss relies on daily.
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A developer used GitHub Copilot and Claude AI to build a full Power BI data model from a requirements document. It generated TMDL files for tables, relationships, and DAX measures, deploying directly to Microsoft Fabric's Direct Lake mode. The workflow includes automatic validation and error fixes, cutting build time from hours to minutes. Requires a pre-set star schema lakehouse and clean source data.
Microsoft releases Fabric Local MCP server, an open-source tool letting AI agents generate code, access OneLake files, and execute Fabric CLI commands from local machines. VS Code extension simplifies setup. Remote MCP preview enables cloud operations with permissions. This shifts Power BI from manual fixes for complex queries and refreshes to AI-driven automation, reducing IT tickets and manual work.
Power BI's April 2026 update adds preview support for calculated columns and tables in Direct Lake mode. This computes values on the fly from large OneLake datasets without imports or extra storage. It supports DAX functions like user details and an improved NAMEOF for cleaner code. Previously, custom calculations required slower Import mode with long refreshes; now Direct Lake handles them at full speed for sub-second dashboards.
Microsoft previews dbt support in Fabric pipelines, enabling direct execution of dbt jobs for transforming raw data into analysis-ready tables. Pipelines handle model building, running, testing, with dynamic parameters and dependencies. This eliminates slow Power Query chains or separate dbt runs, delivering clean data to Power BI semantic models for faster, reliable dashboards.
Microsoft Fabric adds read-only Data Agents that enable AI applications to query Lakehouses and Power BI semantic models using SQL, DAX or KQL. Deployment uses REST APIs with Fabric permissions for secure access. This resolves manual DAX querying issues that break under filters or refreshes, preventing AI failures and exposing model flaws early.
Power BI Dataflows Gen1 is legacy as of April 2026, replaced by Gen2 with mandatory Git/CI/CD, Fabric storage options like Lakehouse, Copilot AI authoring, modern .NET 8 engine, REST APIs, and branched workspaces. Original Northwind demos now use relative references and variable libraries for enterprise-scale data transformation.
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⚡ Microsoft is rapidly retiring Power BI Premium and Gen1 dataflows while pushing Fabric adoption, forcing urgent workflow migrations for mid-sized teams.
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