We’re introducing a set of new enhancements for Data Agent creators — designed to make it easier to debug, improve, and express your agent’s logic. Whether you’re tuning example queries, refining instructions, or validating performance, these updates make it faster to iterate and deliver high-quality experiences to your users. New Debugging Tools View referenced example … Continue reading “Creator Improvements in the Data Agent”
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”
Microsoft has launched a native graph data management, analytics, and visualization service. Its horizontally scalable, native graph engine empowers enterprises of all sizes with a relationship‑first way to model and explore interwoven data.
Fabric data agents now support CI/CD, ALM flow, and Git integration. These enhancements help you implement best practices for managing your data agent artifacts and tracking changes, leading to more reliable and collaborative development. Benefits of CI/CD and ALM Flow Fabric data agents support a variety of data sources, including Lakehouse, Warehouse, Power BI Semantic … Continue reading “Fabric Data Agent now supports CI/CD, ALM Flow, and Git Integration”
The Model Context Protocol (MCP) for Fabric is a developer-focused framework that brings together Microsoft Fabric’s public APIs, item definitions, and best-practice guidance into a unified context layer designed for AI-assisted development. It runs locally on your machine, giving AI agents the context they need to generate code and author items without accessing your environment—keeping … Continue reading “Introducing Fabric MCP (Preview)”
