Deep dive into composite semantic models with Direct Lake and import tables
Getting your data job done just got easier with composite semantic models, mixing Direct Lake tables with import tables, now available in public preview.
» 자세히 보기Getting your data job done just got easier with composite semantic models, mixing Direct Lake tables with import tables, now available in public preview.
» 자세히 보기This 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.
» 자세히 보기The latest update to DAX query view introduces a major improvement to IntelliSense, eliminating auto-preselection to enhance efficiency and accuracy.
» 자세히 보기Microsoft 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.
» 자세히 보기We are excited to announce that writing DAX queries with Copilot can utilize semantic model descriptions, synonyms, and sample values from columns.
» 자세히 보기We are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» 자세히 보기Boost your productivity in DAX query view with Copilot to write and explain DAX queries.
» 자세히 보기We are happy to announce a new Direct Lake semantic model property to control Direct Lake behavior.
» 자세히 보기We are excited to announce the public preview of generating measure descriptions with Fabric Copilot!
» 자세히 보기As 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.
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