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Microsoft Fabric Updates Blog

Fabric March 2026 Feature Summary

maart 18, 2026 door Katie Murray 152.649 Weergaven

Welcome to the Fabric March 2026 Feature Summary—and welcome to FabCon! As we kick off FabCon, this update captures the momentum we’re seeing across the Fabric platform and the conversations happening with customers and partners right now. March brings a wide range of enhancements across governance, data engineering, real-time intelligence, data science, extensibility, and AI—all …

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One platform, many insights: How Eventhouse brings analytics together (Preview)

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, …

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Capacity Scheduler: Smarter capacity control for Eventhouse (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 …

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Unifying “Analyze data with” analytics across Fabric (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 …

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ALTER TABLE inside explicit transactions in Fabric Data Warehouse (Generally Available)

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 …

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Bring your local files to OneLake with OneLake file explorer (Generally Available)

Adopted by thousands of active users, OneLake File Explorer enables developers, data scientists, and business users to move data from local files into OneLake quickly—without changing how they work. From local files to cloud analytics—without breaking your flow Imagine this scenario: You’re a data engineer working with files on your local machine—CSV extracts, Excel files …

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