Agentic Fabric: How MCP is turning your data platform into an AI-native operating system
Something fundamental is changing in how developers interact with data platforms. Not a feature update, not a UI refresh, but a shift in the interface itself.
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Microsoft Fabric Updates Blog
Evolving Agentic Applications on Microsoft Fabric: From Automated Deployment to Integrating Data Agents
In our previous post, Operationalizing Agentic Applications with Microsoft Fabric, we focused on a core challenge teams encounter once an agentic application moves beyond a proof of concept: operational reality. Specifically, how do you observe, govern, evaluate, and analyze what agents are doing once they interact with real users, data, and business processes at scale? … Continue reading “Evolving Agentic Applications on Microsoft Fabric: From Automated Deployment to Integrating Data Agents”
Answers to common questions about Fabric Data Factory
As the Data Integration Customer Advisory Team (CAT) lead, I spent a lot of time talking to customers at the recent FabCon/SQLCon about Fabric Data Factory, and I came away with a clear picture of what’s on customers’ minds when it comes to the future of data integration. Many of the same questions came up … Continue reading “Answers to common questions about Fabric Data Factory”
Five reasons to attend SQLBits in the UK
Microsoft SQL team is returning as headline sponsor of SQLBits 2026, taking place from 22–25 April at ICC Wales in Newport. I’m speaking for the whole team when I say we’d love to see you there. I’m here today to give you five reasons you should attend SQLBits. This year we’re teaming up with AMD … Continue reading “Five reasons to attend SQLBits in the UK”
Unlocking financial insights with Capital Markets DataHub workload—A partner-led innovation in Microsoft Fabric (Preview)
We are releasing the preview of a domain‑native data solution built as a workload in Fabric to power analytics and AI-enabled use-cases for capital markets and hedge fund customers in the finance industry. Financial institutions are moving fast to modernize their analytics stack and accelerate AI adoption, however in capital markets, data complexity remains the single biggest blocker to achieving that goal.
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