On-premises data gateway October 2024 release
Here is the October 2024 release of the gateway!
» En savoir plusBillets avec balises : Fabric
Announcement: Microsoft Purview Data Loss Prevention policies have been extended to Fabric lakehouses
Purview data loss prevention policies help you automatically detect sensitive information as it is uploaded into lakehouses in your Fabric tenant and take risk remediation actions.
» En savoir plusOn-premises data gateway September 2024 Release
Hi everyone and welcome to September! We are excited to announce the September 2024 release of the on-premises data gateway.
» En savoir plusOn-premises data gateway August 2024 release
Welcome to August! We are excited to announce a new version of the on-premises data gateway.
» En savoir plusOn-premises data gateway July 2024 release
We are excited to announce the July 2024 release of the on-premises data gateway!
» En savoir plusOn-premises data gateway June 2024 release
Welcome to June! We are excited to announce the 3000.222.10 version of the on-premises data gateway.
» En savoir plusOn-premises data gateway May 2024 release
We are proud to announce the May 2024 version of the on-premises data gateway. Please continue to send us feedback for what new capabilities you’d like to see in the future at ideas.powerbi.com/ideas.
» En savoir plusUpdated Microsoft Fabric compliance offerings
Microsoft Fabric is now HIPAA compliant
» En savoir plusNew Fabric certification and Fabric Career Hub
Last year was a remarkable one for the Power BI community. We launched Microsoft Fabric, an end-to-end analytics platform that brings together data preparation, data warehousing, data engineering, data science, real-time analytics, and business intelligence in one unified SaaS foundation with one copy of data stored in OneLake. We also launched Power BI Copilot, making it easier to find insights and build reports using natural language. And our community of over 2 million members continued to engage on our forums, post ideas, join user groups, helping one another in their data journeys.
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