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Microsoft Fabric Updates Blog

  1. 更新
  2. Lakehouse

OneLake as a Source for COPY INTO and OPENROWSET (Preview)

Simplified, workspace-governed ingestion without external dependencies COPY INTO and OPENROWSET from OneLake are now available in Preview for Microsoft Fabric Data Warehouse. With this release, you can load and query files directly from Lakehouse File folders, without relying on external staging storage, SAS tokens, or complex IAM configurations. This improvement reinforces Fabric’s vision of a … Continue reading “OneLake as a Source for COPY INTO and OPENROWSET (Preview)”

Autoscale Billing for Spark in Microsoft Fabric (Generally Available)

We’re thrilled to announce the general availability (GA) of Autoscale Billing for Apache Spark in Microsoft Fabric — a serverless billing model designed to offer greater flexibility, transparency, and cost efficiency for running Spark workloads at scale. With this model now fully supported, Spark Jobs can run independently of your Fabric capacity and are billed … Continue reading “Autoscale Billing for Spark in Microsoft Fabric (Generally Available)”

New in OneLake: Access your Delta Lake tables as Iceberg automatically (Preview)

Effortlessly read Delta Lake tables using Apache Iceberg readers Microsoft Fabric is a unified, SaaS data and analytics platform designed for the era of AI. All workloads in Microsoft Fabric use Delta Lake as the standard, open-source table format. With Microsoft OneLake, Fabric’s unified SaaS data lake, customers can unify their data estate across multiple … Continue reading “New in OneLake: Access your Delta Lake tables as Iceberg automatically (Preview)”

Boost performance effortlessly with Automated Table Statistics in Microsoft Fabric

We’re thrilled to introduce Automated Table Statistics in Microsoft Fabric Data Engineering — a major upgrade that helps you get blazing-fast query performance with zero manual effort. Whether you’re running complex joins, large aggregations, or heavy filtering workloads, Fabric’s new automated statistics will help Spark make smarter decisions, saving you time, compute, and money. What … Continue reading “Boost performance effortlessly with Automated Table Statistics in Microsoft Fabric”

Extracting deeper insights with Fabric Data Agents in Copilot in Power BI

  • Headshot of article author 5月 19, 2025 作者： Amir Jafari 54,677 點閱數

Co-author: Joanne Wong We’re excited to announce the upcoming integration of Fabric data agent with Copilot in Power BI, enhancing your ability to extract insights seamlessly. What’s new? A new chat with your data experience is launching soon in Power BI– a full-screen Copilot for users to ask natural language questions and receive accurate, relevant … Continue reading “Extracting deeper insights with Fabric Data Agents in Copilot in Power BI”