Microsoft Fabric Updates Blog

Introducing High Concurrency Mode for Notebooks in Pipelines for Fabric Spark

We’re excited to introduce high concurrency mode for notebooks in pipelines, bringing session sharing to one of the most popular orchestration mechanisms for enterprise data ingestion and transformation. Notebooks will now automatically be packed into an active high concurrency session without compromising performance or security, while paying for a single session. Key Benefits: Why Use … Continue reading “Introducing High Concurrency Mode for Notebooks in Pipelines for Fabric Spark”

Fabric September 2024 Monthly Update

Welcome to the September 2024 Update! Announcements We have a lot of exciting announcements to share with you for FabCon Europe! We’ve brought Copilot to Dataflows Gen2 and a richer Copilot experience when building and consuming Power BI Reports. With Real-Time Intelligence we have redesigned and enhanced user experience in the Real-Time hub.

Harness Microsoft Fabric AI Skill to Unlock Context-Rich Insights from Your Data

As you may have seen, AI Skill in Microsoft Fabric is publicly available, offering exciting new possibilities for users to create customized, data-driven generative AI experts within Microsoft Fabric. This post will demonstrate how you can extend the capabilities of Fabric AI Skill in Microsoft Fabric notebooks to deliver richer and more comprehensive responses using … Continue reading “Harness Microsoft Fabric AI Skill to Unlock Context-Rich Insights from Your Data”

Fabric Influencers Spotlight August 2024

Welcome to the Fabric Influencers Spotlight, a recurring monthly post here to shine a bright light on the places on the internet where Microsoft MVPs & Fabric Super Users are doing some amazing work on all aspects of Microsoft Fabric. The Microsoft Fabric Community team has created the Fabric Influencers Spotlight to highlight and amplify … Continue reading “Fabric Influencers Spotlight August 2024”

Advanced Time Series Anomaly Detector in Fabric

Anomaly Detector, one of Azure AI services, enables you to monitor and detect anomalies in your time series data. This service is based on advanced algorithms, SR-CNN for univariate analysis and MTAD-GAT for multivariate analysis and is being retired by October 2026. In this blog post we will lay out a migration strategy to Microsoft Fabric, allowing … Continue reading “Advanced Time Series Anomaly Detector in Fabric”