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Microsoft Fabric Updates Blog

  1. Aktualisierungen
  2. Oktober 2025

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”

OneLake APIs: Bring your apps and build new ones with familiar Blob and ADLS APIs

  • Headshot of article author Oktober 22, 2025 von Tom Peplow 11.309 Ansichten

OneLake is the unified data lake for Microsoft Fabric, designed to simplify data management and accelerate analytics across your organization. The best part is, OneLake speaks the same language your applications already do. With support for the ubiquitous Azure Data Lake Storage (ADLS) or Blob Storage APIs, OneLake makes it easy to bring your existing applications and … Continue reading “OneLake APIs: Bring your apps and build new ones with familiar Blob and ADLS APIs”

SSMS 22 Meets Fabric Data Warehouse: Evolving the Developer Experiences

Why this Investment Matters For years, SQL Server Management Studio (SSMS) has been the go-to tool for millions of SQL developers worldwide. With millions of active users, SSMS remains the most trusted environment for database professionals. Yet, Fabric Data Warehouse had long lacked deep integration with SSMS, leaving developers to juggle inconsistent experiences between web … Continue reading “SSMS 22 Meets Fabric Data Warehouse: Evolving the Developer Experiences”

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”