Microsoft Fabric Updates Blog

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)”

Microsoft Fabric 2025 holiday recap: Unified Data and AI Innovation

As 2025 ends, we’re taking a moment to reflect on Microsoft Fabric’s second year in the market and the collective progress made alongside our community, customers, and partners. What began as a unified vision for data and AI has grown into a platform adopted by more than 28,000 organizations worldwide, anchored by OneLake and shaped … Continue reading “Microsoft Fabric 2025 holiday recap: Unified Data and AI Innovation”

Fabric Runtime 2.0 (Preview)

Fabric Runtime provides seamless integration within the Microsoft Fabric ecosystem, delivering a powerful environment for data engineering and data science projects built on Apache Spark. Fabric Runtime 2.0 is now available in Experimental Public Preview (EPP). This next-generation runtime is purpose-built for large-scale data computations in Microsoft Fabric and introduces key features and components that … Continue reading “Fabric Runtime 2.0 (Preview)”

Variable Library Support in Notebook (Generally Available)

This release brings consistent, secure, and scalable configuration management directly into notebooks—streamlining environment-aware development and CI/CD workflows without hardcoding. Why it Matters As projects grow, managing environment-specific settings can become complex. With Variable Library support in notebooks, you can: Key Highlights The following is an example of how to use Variable Library in notebook. Resources

How does Fabric make Spark Notebooks Instant?

Discover how Microsoft Fabric’s Forecasting Service system reduces Spark startup latency and cloud costs through proactive AI and ML-driven resource provisioning. Context & Relevance Waiting minutes for a Spark cluster to become available can throttle analytics velocity, delay insights, and drive-up cloud spend. In a world where data teams expect near‐instant execution and seamless burst … Continue reading “How does Fabric make Spark Notebooks Instant?”