Microsoft Fabric Updates Blog

Microsoft Fabric logo
Microsoft Fabric logo

Empower Power BI users with Microsoft Fabric and Copilot

We are thrilled to announce the general availability of Microsoft Fabric and the public preview of Copilot in Microsoft Fabric, including the experience for Power BI. With the launch of these next-generation analytics tools, you can empower your data teams to more easily scale to meet the demand of the business. You can create a well-orchestrated data estate that minimizes data fragmentation and makes it easy for business users to find continually up-to-date, accurate data. And it even enables business users to explore and consume governed data, helping them answer questions on their own.

Power BI November 2023 Feature Summary

Welcome to the November 2023 update. We’ve got a lot of great features this month including DAX Query view, Semantic Model Scale-out, and Advanced Filtering for Paginated Reports. 

There is more to explore, please continue to read on.

Microsoft Fabric, explained for existing Synapse users

Earlier this year, at Microsoft Build, we introduced, in Public Preview, Microsoft Fabric, “the biggest data product announcement since SQL Server”. Today, we are announcing the General Availability of Microsoft Fabric. Arun explains in detail why we all believe Microsoft Fabric will redefine the current analytics landscape. I will focus here on what it means …

Microsoft Fabric November 2023 update

Welcome to the November 2023 update.   We have lots of features this month including Narrative visual with Copilot, cross workspace “save as” for Data Factory, the general availability of Semantic model scale-out, and many more. Continue reading for more details on our new features!    Contents Core Microsoft Fabric User API Power BI Reporting Button …

Introducing Mirroring in Microsoft Fabric

As mentioned in Arun’s blog post, we are thrilled to announce that Mirroring in Microsoft Fabric is coming soon. In today’s AI driven world, analytics platforms are only as good as their data. With the ever-increasing amount of data being collected in various applications, databases, and data warehouses in an enterprise, managing and ingesting data …