If you’ve worked with calculation groups, you know how powerful they are for simplifying measure logic and enhancing report functionality. It doesn’t stop there though; selection expressions offer even more fine-tuned control.
» 詳細を読む This update comes with a marked improvement when generating DAX queries and conversationally editing them. This includes overall correctness of the DAX queries and Copilot shows a deeper understanding of how to utilize DAX.
» 詳細を読む The latest update to DAX query view introduces a major improvement to IntelliSense, eliminating auto-preselection to enhance efficiency and accuracy.
» 詳細を読む Microsoft Fabric’s OneLake data can be visualized and analyzed in Power BI without moving any data using the new Direct Lake storage mode. . Power BI Desktop users can now create these just like any Power BI solution, right in Power BI Desktop.
» 詳細を読む We are excited to announce that writing DAX queries with Copilot can utilize semantic model descriptions, synonyms, and sample values from columns.
» 詳細を読む You can use Power BI Desktop to live edit Direct Lake semantic models, improving your data modeling experience and allowing export to Power BI Project (PBIP) for professional development workflows.
» 詳細を読む We recently made a significant update to the Direct Lake documentation. Direct Lake accelerates time to data-driven decisions by unlocking incredible performance directly against OneLake, without the need to manage costly, time-consuming data refreshes for large volumes of data in OneLake.
» 詳細を読む Explore the latest features of the ALM Toolkit! Our new update adds coloring support for TMDL, allowing you to view tabular model metadata in a user-friendly, YAML-like syntax. Enhance your Power BI experience and manage your semantic models with ease by adopting the ALM Toolkit into your workflow.
» 詳細を読む We are happy to announce that the Tabular Model Definition Language (TMDL) has now reached General Availability (GA)!
» 詳細を読む We are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» 詳細を読む