Microsoft Fabric Updates Blog

SQL database in Fabric: Built for SaaS, Ready for AI

Since SQL database in Microsoft Fabric became generally available in November, customer adoption has grown rapidly. Organizations are using it to simplify their data estates, eliminate ETL pipelines, and get their operational data ready for analytics and AI—without managing infrastructure. It’s a fully managed, SaaS-native transactional database built for what comes next. If you’ve been … Continue reading “SQL database in Fabric: Built for SaaS, Ready for AI”

Supercharge AI, BI, and data engineering with Semantic Link (Generally Available)

Great technology does not succeed on design alone—it succeeds when it helps people solve real problems. Semantic Link is one of those transformative capabilities in Microsoft Fabric: it brings AI, BI, and data engineering together through a shared semantic layer, enabling teams to work faster and more intelligently on the data they already trust. From … Continue reading “Supercharge AI, BI, and data engineering with Semantic Link (Generally Available)”

Fabric January 2026 Feature Summary

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 … Continue reading “Fabric January 2026 Feature Summary”

Introducing Copilot for Real-Time Dashboards: Write KQL with natural language

Turning questions into KQL queries just became part of Real-Time Dashboard tile editing experience, using Copilot. This new feature brings the power of AI directly into the tile editing workflow. When editing a tile, you’ll now see the Copilot assistant pane ready to help you turn natural language into actionable queries. Whether you’re new to … Continue reading “Introducing Copilot for Real-Time Dashboards: Write KQL with natural language”

Create Embeddings in Fabric Eventhouse with built-in Small Language Models (SLMs)

What if generating embeddings in Eventhouse didn’t require an external endpoint, callout policies, throttling management, or per‑request costs? That’s exactly what slm_embeddings_fl() delivers: a new user-defined function (UDF) that generates text embeddings using local Small Language Models (SLMs) from within the Kusto Python sandbox, returning vectors that you can immediately use for semantic search, similarity … Continue reading “Create Embeddings in Fabric Eventhouse with built-in Small Language Models (SLMs)”