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.
» קרא עודWe are excited to announce that writing DAX queries with Copilot can utilize semantic model descriptions, synonyms, and sample values from columns.
» קרא עודWe are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» קרא עודBoost your productivity in DAX query view with Copilot to write and explain DAX queries.
» קרא עודWe are happy to announce a new Direct Lake semantic model property to control Direct Lake behavior.
» קרא עודWe are excited to announce the public preview of generating measure descriptions with Fabric Copilot!
» קרא עודAs 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.
» קרא עודWith 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!
» קרא עודDAX query view, released in public preview last month, in the December 2023 Power BI Desktop release has exciting updates including the new INFO DAX functions and improvements to the Update model CodeLens.
» קרא עודIn November 2023 release we added a new fourth view in public preview to Power BI Desktop, the DAX query view! The DAX query view gives you the ability to write, edit, and see the results of Data Analysis Expressions or DAX queries on your semantic model. Finally, you can now take advantage of the existing DAX queries syntax while working with your semantic model without leaving Power BI Desktop.
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