Welcome to the February 2026 Microsoft Fabric update! This month brings a wide range of enhancements across the Fabric platform—from improvements to the OneLake Catalog and developer experiences, to meaningful updates in Data Engineering, Data Factory, Real‑Time Intelligence, and more. Whether you’re building, operating, or scaling solutions in Fabric, there’s plenty here to explore. And … Continue reading “Fabric February 2026 Feature Summary”
We’re introducing billing reporting updates that make it easier to track AI-related usage in Microsoft Fabric. New AI Functions operation Until now, Fabric AI functions usage was reported under other operations, such as Spark-related operations, or Dataflows Gen2-related operations, depending on where the functions were used. To provide more transparency, Fabric AI functions will have … Continue reading “Billing updates: new operations for Fabric AI functions and AI services”
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)”
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”
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)”
