Unlock Flexible Time-Based Reporting with DATE_BUCKET() in Microsoft Fabric DW! Microsoft Fabric Data Warehouse continues to evolve with powerful features that make analytics easier and more adaptable. One of the latest additions is the DATE_BUCKET() function—a game-changer for time-based reporting.
What a year 2025 has been for SQL! ICYMI and are looking for some hype, might I recommend you start with this blog from Priya Sathy, the product leader for all of SQL at Microsoft: One consistent SQL: The launchpad from legacy to innovation. In this blog post, Priya explains how we have developed and … Continue reading “2025 Year in Review: What’s new across SQL Server, Azure SQL and SQL database in Fabric”
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 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)”
A Leader in Data Integration We’re thrilled to share that Microsoft has been named a Leader in the 2025 Gartner Magic Quadrant for Data Integration Tools—our fifth consecutive year in this position. In our view, this recognition reflects our commitment to help organizations unify their data estate and unlock the full potential of AI. To … Continue reading “Microsoft Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Data Integration Tools”
