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.
» Læs mere 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.
» Læs mere We are happy to announce that the Tabular Model Definition Language (TMDL) has now reached General Availability (GA)!
» Læs mere We are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» Læs mere Boost your productivity in DAX query view with Copilot to write and explain DAX queries.
» Læs mere We are happy to announce a new Direct Lake semantic model property to control Direct Lake behavior.
» Læs mere 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.
» Læs mere 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!
» Læs mere DAX 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.
» Læs mere In 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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