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Microsoft Fabric Updates Blog

  1. 更新情報
  2. Data Science

Use Fabric User Data Functions with Pandas DataFrames and Series in Notebooks

  • Headshot of article author 8月 26, 2025 作成者: Jenny Jiang 20,094 表示数

We’ve made a major enhancement to the Notebook Integration with Fabric User Data Functions (UDFs)—you can now use Pandas DataFrames and Series as input and output types, powered by native integration with Apache Arrow! This enhancement brings higher performance, improved efficiency, and better scalability to your Fabric Notebooks—enabling seamless function reuse for large-scale data processing … Continue reading “Use Fabric User Data Functions with Pandas DataFrames and Series in Notebooks”

Fabric workspace-level Private Link (Preview)

We’re thrilled to announce that workspace-level Private Link support in Microsoft Fabric is now in Preview! In May 2024, we announced General Availability of Private Link for Fabric Tenants. Since then, we’ve heard feedback requesting more granular network security controls. Private link for Fabric workspaces empowers your organization to secure your Fabric workspaces with fine-grained … Continue reading “Fabric workspace-level Private Link (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)”

Expanded Data Agent Support for Large Data Sources

We are continuously enhancing data agents in Fabric to deliver more powerful and flexible data experiences. In February of this year, we introduced a host of new improvements coming to the AI Skill—including support for additional Data Sources such as Eventhouse KQL and Semantic Models. Initially, integration to data sources was limited to sources with … Continue reading “Expanded Data Agent Support for Large Data Sources”

Fabric Data Agents + Microsoft Copilot Studio: A New Era of Multi-Agent Orchestration (Preview)

  • Headshot of article author 7月 23, 2025 作成者: Amir Jafari 58,986 表示数

Additional authors: Joanne Wong The preview of the integration between Fabric data agents and Microsoft Copilot Studio is now available, introducing a robust capability that enables agents to interoperate seamlessly across tools. This enhancement is designed to streamline the development, deployment, and scaling of intelligent agents across enterprise data environments, reinforcing automation and extensibility within … Continue reading “Fabric Data Agents + Microsoft Copilot Studio: A New Era of Multi-Agent Orchestration (Preview)”