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Microsoft Fabric Updates Blog

  1. Updates
  2. Data Engineering

Fabric October 2025 Feature Summary

This month’s update delivers key advancements across Microsoft Fabric, including enhanced security with Outbound Access Protection and Workspace-Level Private Link, smarter data engineering features like Adaptive Target File Size, and new integrations such as Data Agent in Lakehouse. Together, these improvements streamline workflows and strengthen data governance for users. Contents Events & Announcements Fabric Data … Continue reading “Fabric October 2025 Feature Summary”

Announcing the open-source release of Microsoft Fabric Extension for VS Code

We’re thrilled to announce that the Fabric Core extension for Visual Studio Code is now officially open source! We’re excited to take this step because it shows how committed we are to being open, collaborating with the community, and giving developers the tools they need to create amazing things with Microsoft Fabric.

Securely Accessing External and On-Premises Data Sources with Fabric Data Engineering Workloads

Managed Private Endpoints support for connecting to Private Link Services is now available in Microsoft Fabric (Public REST APIs). This has been one of the top requests from our customers and the community: the ability to securely connect Fabric Spark compute to on-premises and network-isolated data sources using the option to allowlist Fully Qualified Domain … Continue reading “Securely Accessing External and On-Premises Data Sources with Fabric Data Engineering Workloads”

How Spark Supports OneLake Security with Row and Column Level Policies

Recently, we announced a significant milestone: public support for Row and Column Level Security within OneLake. This universal security framework applies consistently across all data engines, regardless of how data is accessed. Traditionally, Spark does not provide granular security features and assumes unrestricted access to the required datasets for query execution. To address this limitation, … Continue reading “How Spark Supports OneLake Security with Row and Column Level Policies”

Capacity usage enabled date for Test capability in User Data Functions

User Data Functions is an item that allows you to create fully managed Python functions to run on Fabric. You can use this item to embed your business logic in your Fabric data architectures across all the different integrations, such as Fabric data sources, Power BI reports, Pipelines, Notebooks, and more. The use of the … Continue reading “Capacity usage enabled date for Test capability in User Data Functions”