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.
» 閱讀更多We are excited to announce that writing DAX queries with Copilot can utilize semantic model descriptions, synonyms, and sample values from columns.
» 閱讀更多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.
» 閱讀更多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.
» 閱讀更多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.
» 閱讀更多We are happy to announce that the Tabular Model Definition Language (TMDL) has now reached General Availability (GA)!
» 閱讀更多We are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» 閱讀更多Boost your productivity in DAX query view with Copilot to write and explain DAX queries.
» 閱讀更多We are happy to announce a new Direct Lake semantic model property to control Direct Lake behavior.
» 閱讀更多As part of our continued tooling improvements, we have enhanced the experience for creating Direct Lake semantic models in Microsoft Fabric. This applies to semantic models created by clicking the New semantic model button from the Lakehouse.
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