Microsoft Fabric Updates Blog

Explore, edit, and organize Item definitions and Fabric MCP server in VS Code

If you haven’t already, check out Arun Ulag’s hero blog “FabCon and SQLCon 2026: Unifying databases and Fabric on a single, complete platform” for a complete look at all of our FabCon and SQLCon announcements across both Fabric and our database offerings.  We have been iterating quickly on the Fabric extension for Visual Studio Code … Continue reading “Explore, edit, and organize Item definitions and Fabric MCP server in VS Code”

Tenant level private link support for Microsoft Fabric API for GraphQL (Generally Available)

Microsoft Fabric API for GraphQL now supports Tenant Level Private Link, delivering enterprise-grade network security to your data APIs. This highly requested feature enables organizations to access their GraphQL APIs through private connectivity, ensuring that data traffic never traverses the public internet.

Support for default arguments in Fabric User data functions

The Fabric user data functions (UDF) programmability model now includes the ability to define functions with default argument values. This feature allows you streamline your workflow by minimizing the need to specify every argument each time you call a function—any parameters you leave out will automatically use their default values. As a result, you can write cleaner, more concise code and focus on the logic that matters most.

API for GraphQL source control and CI/CD support (Generally Available)

Source control and deployment capabilities for the API for GraphQL in Microsoft Fabric Data Engineering are now available. This release improves reliability and performance for Fabric CI/CD and deployment pipelines, so you can version GraphQL artifacts in Git, collaborate through pull requests, and promote changes across environments with consistent governance.

Manage environment configuration in Fabric User data functions with variable libraries 

Data Engineers working with Microsoft Fabric often need to manage environment-specific configurations, including the modification of Lakehouse names, file paths, or schema names for development, testing, and production environments. In this scenario, you would want to avoid hard coding this information. This is where variable libraries in Fabric can help data engineers manage their environment configuration when working with Fabric User data … Continue reading “Manage environment configuration in Fabric User data functions with variable libraries “