Have you ever tried to understand what’s stored in your Fabric items? Would you even know where to begin? I had 92,000 UK property transactions sitting in an open mirrored database. Rather than spending hours sorting through documentation, I just asked my AI agent: “Document what’s in the House Price Open Mirror in my UK … Continue reading “Give your AI agent the keys to OneLake: OneLake MCP (Generally Available)”
Modern analytics isn’t just about storing data. It’s about detecting issues early, understanding them fast, and acting with confidence. Eventhouse in Microsoft Fabric brings advanced analytics capabilities together so teams can move from raw events to insight and action without stitching tools or duplicating data. With native integrations for Anomaly Detection, Data Agents, SQL Endpoints, … Continue reading “One platform, many insights: How Eventhouse brings analytics together (Preview)”
Modern, real-time analytics workloads are rarely flat. In Eventhouse, some of the customers consistently told us that their usage follows clear, predictable patterns: heavy ingestion during business hours, lighter query traffic overnight, quiet weekends, and short but critical pipeline windows. Previously, customers had to choose a single minimum capacity value for the entire week, paying … Continue reading “Capacity Scheduler: Smarter capacity control for Eventhouse (Preview)”
As Microsoft Fabric continues to converge analytics experiences across workloads, one of the most important steps forward is reducing friction in how users move from raw data to insights. With the latest integrations, the Eventhouse Endpoint is now deeply embedded into the “Analyze data with” entry points across Lakehouse, Data Warehouse, and Eventhouse, bringing a … Continue reading “Unifying “Analyze data with” analytics across Fabric (Preview)”
Schema evolution is a fact of life for modern analytics platforms. As data models grow, teams need to add columns, drop unused fields, and evolve constraints—often as part of tightly controlled deployment pipelines. Fabric DW supported transactional execution for key table‑focused DDLs like CREATE TABLE, DROP TABLE, TRUNCATE TABLE, CTAS and sp_rename—with this release, ALTER … Continue reading “ALTER TABLE inside explicit transactions in Fabric Data Warehouse (Generally Available)”
