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.
» Read moreGetting your data job done just got easier with composite semantic models, mixing Direct Lake tables with import tables, now available in public preview.
» Read moreThis 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.
» Read moreThe latest update to DAX query view introduces a major improvement to IntelliSense, eliminating auto-preselection to enhance efficiency and accuracy.
» Read moreMicrosoft 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.
» Read moreWe are excited to announce that writing DAX queries with Copilot can utilize semantic model descriptions, synonyms, and sample values from columns.
» Read moreWe are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» Read moreBoost your productivity in DAX query view with Copilot to write and explain DAX queries.
» Read moreWe are happy to announce a new Direct Lake semantic model property to control Direct Lake behavior.
» Read moreWe are excited to announce the public preview of generating measure descriptions with Fabric Copilot!
» Read moreAs 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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