Microsoft Fabric Updates Blog

Announcing new features for Microsoft Fabric Extension in VS Code

The Microsoft Fabric Extension for VS Code introduces two new features that enhance the management of Fabric items directly within the editor. Users can now perform CRUD operations on Fabric items and switch between multiple tenants easily. These updates aim to improve workflow efficiency and are based on customer feedback, inviting further suggestions for enhancement.

Fabric June 2025 Feature Summary

Welcome to the June 2025 update. The June 2025 Fabric update introduces several key enhancements across multiple areas. Power BI celebrates its 10th anniversary with a range of community events, contests, expert-led sessions, and special certification exam discounts. In Data Engineering, Fabric Notebooks now support integration with variable libraries in preview, empowering users to manage … Continue reading “Fabric June 2025 Feature Summary”

Introducing new item creation experience in Fabric

Have you ever found yourself frustrated by inconsistent item creation? Maybe you’ve struggled to select the right workspace or folder when creating a new item or ended up with a cluttered workspace due to accidental item creation. We hear you—and we’re excited to introduce the new item creation experience in Fabric! This update is designed … Continue reading “Introducing new item creation experience in Fabric”

Integrating Azure API Management with Fabric API for GraphQL

Introduction Integrating Azure API Management (APIM) with Microsoft Fabric’s API for GraphQL can significantly enhance your API’s capabilities by providing robust scalability and security features such as identity management, rate limiting, and caching. This post will guide you through the process of setting up and configuring these features. You may not be familiar with API … Continue reading “Integrating Azure API Management with Fabric API for GraphQL”

Privacy by Design: PII Detection and Anonymization with PySpark on Microsoft Fabric

Introduction Whether you’re building analytics pipelines or conversational AI systems, the risk of exposing sensitive data is real. AI models trained on unfiltered datasets can inadvertently memorize and regurgitate PII, leading to compliance violations and reputational damage. This blog explores how to build scalable, secure, and compliant data workflows using PySpark, Microsoft Presidio, and Faker—covering … Continue reading “Privacy by Design: PII Detection and Anonymization with PySpark on Microsoft Fabric”