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Microsoft Fabric Updates Blog

Fabric January 2026 Feature Summary

January 28, 2026 by Katie Murray 209,767 Views

If you’ve been trying to keep up with everything shipping in Microsoft Fabric, this January 2026 round-up is for you—covering the biggest updates across the platform, from new AI-powered catalog experiences and OneLake governance improvements to enhancements in Data Engineering, Data Warehouse, Real-Time Intelligence, and Data Factory. If you haven’t already, make sure FabCon Atlanta …

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This is your sign to attend FabCon Atlanta—Data Warehouse Edition

If there’s one place where the entire Microsoft Fabric ecosystem shows up in full force, this is it. FabCon Atlanta is the largest gatherings of Fabric product managers, engineers, customers, decision‑makers, and hands‑on practitioners you’ll find all year! It’s the only place where you’ll get raw, unfiltered insight into how Fabric’s Data Warehouse is evolving, …

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The future of data security is interoperability: a technical look at OneLake security

Enterprises have never had more ways to store and analyze data. As data spreads across clouds, formats, and analytics engines, security policies tend to fragment along the same lines: each system brings its own model, its own controls, and its own blind spots. The result is a patchwork of inconsistent enforcement, duplicated effort, and higher risk. Yet …

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What’s new in Fabric Eventstream: July–December 2025 updates

From powering AI experiences to enabling instant insights on operational events, Fabric Real‑time Intelligence is becoming indispensable to how modern organizations operate. Over the past six months, the Fabric Eventstream team has delivered one of our most ambitious waves of innovation yet, all centered around a simple mission: make streaming data easier to ingest, process, …

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A turning point for enterprise data warehousing 

As executives plan the next phase of their data and AI transformation, the bar for analytics infrastructure continues to rise. Enterprises are expected to support traditional business intelligence, increasingly complex analytics, and a new generation of AI-driven workloads—often on the same data, at the same time, and with far greater expectations for speed and cost …

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Microsoft OneLake and Snowflake interoperability (Generally Available)

Data teams today are under extraordinary pressure. Expectations around analytics and AI have never been higher, yet enterprise data continues to live across a patchwork of systems, tools, and platforms. The result is friction, duplication, and complexity, making it harder for data teams to provide a unified, real-time view of their business. Microsoft and Snowflake …

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