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We are excited to announce that Mirroring, previously announced at Ignite in November 2023, is now available to customers in Public Preview. You can now seamlessly bring your databases into OneLake in Microsoft Fabric, enabling seamless zero-ETL, near real-time insights on your data – and unlocking warehousing, BI, AI, and more.
» 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.
» 閱讀更多With the model explorer available for editing data models in the Power BI service these semantic models, both Direct Lake and those in import or DirectQuery, not only get visibility of their semantic model in a tree view but also can create calculation groups!
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