Deep dive into DAX query view for web
We are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» En savoir plusWe are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» En savoir plusBoost your productivity in DAX query view with Copilot to write and explain DAX queries.
» En savoir plusWe are happy to announce a new Direct Lake semantic model property to control Direct Lake behavior.
» En savoir plusWe are excited to announce the public preview of generating measure descriptions with Fabric Copilot!
» En savoir plusAs 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.
» En savoir plusWith 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!
» En savoir plusDAX 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.
» En savoir plusIn 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.
» En savoir plusThe model view now has even more to offer! We are excited to share the public preview of the Model explorer in the model view of Power BI Desktop.
» En savoir plusWe are excited to share that Direct Lake datasets now support calculation groups!
» En savoir plus