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.
» Διαβάστε περισσότεραWe are excited to announce that writing DAX queries with Copilot can utilize semantic model descriptions, synonyms, and sample values from columns.
» Διαβάστε περισσότεραYou 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.
» Διαβάστε περισσότεραWe 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.
» Διαβάστε περισσότεραWe are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» Διαβάστε περισσότεραWe 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.
» Διαβάστε περισσότεραWe are happy to announce a new Direct Lake semantic model property to control Direct Lake behavior.
» Διαβάστε περισσότεραAs 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.
» Διαβάστε περισσότεραWith 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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