Microsoft Fabric Updates Blog

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Real-Time Dashboards and underlying KQL databases access separation (preview)

Microsoft Fabric’s new Real-Time Dashboard permissions feature brings granular control to how users interact with Real-Time Analytics. With the introduction of separate permissions for dashboards and underlying data, administrators now have the flexibility to allow users to view dashboards without giving access to the raw data. This separation is key for organizations that need to …

Announcement: Microsoft Purview Data Loss Prevention policies have been extended to Fabric lakehouses

Extending Microsoft Purview’s Data Loss Prevention (DLP) policies into Fabric lakehouses is now in public preview! This follows the success of DLP for Power BI and the GA of Microsoft Fabric last year. DLP policies help you automatically detect sensitive information as it is uploaded into lakehouses in your Fabric tenant and take risk remediation …

Microsoft Fabric and AI Learning Hackathon: Copilot in Fabric

This session is part of the Microsoft Fabric and AI Learning Hackathon which focuses on how you can leverage Copilot in Microsoft Fabric. It will guide you through the various capabilities that Copilot offers for you to use Microsoft Fabric, empowering you to enhance productivity and streamline your workflows. We will dive deep into practical …

Use Azure OpenAI to turn whiteboard sketches into data pipelines

At the Microsoft Fabric Community Conference Europe 2024, we announced the General Availability (GA) of Copilot for Data Factory. It operates like a subject-matter expert (SME), collaborating with you to design your dataflows. Find our Copilot for Data Factory GA announcement blog.   Today, we all brainstorm ideas and draw sketches before formalizing them. As …

Enhancing Open Source: Fabric’s Contributions to FLAML for Scalable AutoML

At Fabric, we’re passionate about contributing to the open-source community, particularly in areas that advance the usability and scalability of machine learning tools. One of our recent endeavors has been making substantial contributions back to the FLAML (Fast and Lightweight AutoML) project, a robust library designed to automate the tedious and complex process of machine …