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.
» 阅读更多内容The latest update to DAX query view introduces a major improvement to IntelliSense, eliminating auto-preselection to enhance efficiency and accuracy.
» 阅读更多内容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.
» 阅读更多内容We are excited to announce that writing DAX queries with Copilot can utilize semantic model descriptions, synonyms, and sample values from columns.
» 阅读更多内容We are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» 阅读更多内容Boost your productivity in DAX query view with Copilot to write and explain DAX queries.
» 阅读更多内容We are happy to announce a new Direct Lake semantic model property to control Direct Lake behavior.
» 阅读更多内容We are excited to announce the public preview of generating measure descriptions with Fabric Copilot!
» 阅读更多内容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.
» 阅读更多内容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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