The SQL community is gathering in Atlanta this March for the first‑ever SQLCon, co‑located with FabCon, the Microsoft Fabric Community Conference, March 16-20. One registration unlocks both events, giving you access to deep SQL expertise and the latest in Fabric, Power BI, data engineering, real‑time intelligence, and AI. Whether you’re a DBA, developer, data engineer, architect, or a … Continue reading “Five Reasons to attend SQLCon”
The modern enterprise runs on data-driven decisions. And the modern data warehouse, isn’t just a system of record, it is the foundation for trusted decision-making and AI-powered innovation. With OneLake at its core, Microsoft Fabric unifies data across the enterprise, eliminating fragmentation and enabling true openness. This architecture means that Fabric Data Warehouse isn’t just … Continue reading “Microsoft Fabric Data Warehouse named a leader and outperformer in GigaOm Radar for Data Warehouses”
Performance matters—especially when you’re exploring live data and making decisions in real time. We have released a set of improvements, all aiming to make Real-Time Dashboards faster, smoother, and more responsive, based directly on what our customers and community told us. We listen to your feedback and take action! What’s Improved Thanks to a series … Continue reading “Faster, Smoother, More Delightful: Real-Time Dashboards Performance Improvements”
In October 2025, we introduced OneLake diagnostics—a powerful capability that helps teams “answer who accessed what, when, and how” across your Fabric Lakehouse environment. OneLake diagnostics streams JSON-based activity logs into a Lakehouse you choose, enabling rich analysis, governance, and compliance workflows. A powerful capability that helps teams “answer who accessed what, when, and how” … Continue reading “Gain even more trust and compliance with OneLake diagnostics immutability (Generally Available)”
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)”
