You 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.
» 阅读更多内容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.
» 阅读更多内容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.
» 阅读更多内容We are excited to announce you can now write DAX queries with DAX query view for web from published semantic models in the workspace.
» 阅读更多内容Boost your productivity in DAX query view with Copilot to write and explain DAX queries.
» 阅读更多内容We 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.
» 阅读更多内容We are happy to announce a new Direct Lake semantic model property to control Direct Lake behavior.
» 阅读更多内容We are excited to announce the general availability (GA) of granular access control for all data connection types, a security feature that enables organizations to have more control over who can bind semantic models to organizational data sources on-prem and in the cloud.
» 阅读更多内容We are excited to announce the public preview of generating measure descriptions with Fabric Copilot!
» 阅读更多内容We are excited to announce that the VNet Data Gateway is now GA! Read the blog to find out more and get started using the VNet Data Gateway to secure your production workloads.
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