Microsoft Fabric Updates Blog

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.

SQL Server Management Studio (SSMS) 22.4.1 and GitHub Copilot in SSMS (Generally Available)

GitHub Copilot in SQL Server Management Studio (SSMS) now offers a few highly requested features and several bug fixes based on feedback items. Check out the full release notes to learn about the complete list of updates in the 22.4.1 release. We appreciate you taking time to file issues, share your requests, and upvote items; you’ll notice your feedback helped us shape this release, and will help us continue to evolve the GitHub Copilot in SSMS integration.

Graph-powered AI reasoning (Preview)

As enterprises’ use of large language models (LLMs) evolve from generating text to driving decisions, the path to the answer has come to matter as much as the answer itself. Enterprises are moving beyond AI that merely generates responses toward systems for that reason, justify, and allow for inspection. This shift drives the need for AI that can ground explanations in each enterprise’s complex information environment, which requires the system to perform explicit reasoning over organizational, transactional, and behavioral relationships.