marzo 18, 2026 por Katie Murray 158,313 Vistas
Welcome to the Fabric March 2026 Feature Summary—and welcome to FabCon! As we kick off FabCon, this update captures the momentum we’re seeing across the Fabric platform and the conversations happening with customers and partners right now. March brings a wide range of enhancements across governance, data engineering, real-time intelligence, data science, extensibility, and AI—all …
Fabric Data Warehouse now supports the ANY_VALUE() aggregate, making it easier to write readable, efficient T-SQL when you want to group by a key but still return descriptive columns that are functionally the same for every row in the group. What is ANY_VALUE()? ANY_VALUE() is an aggregate or analytic function that returns an arbitrary value …
Data warehouses traditionally focus on structured and semi-structured data. Free-form text such as notes, logs, or comments was difficult to process in data warehousing scenarios without external components. Microsoft Fabric Data Warehouse is opening new scenarios in modern data warehousing by enabling you to work with unstructured text using new AI capabilities. We are introducing …
Over the past few weeks, we’ve been actively reading through comments in the Reddit thread to gather UX feedback. Thank you all for taking the time to share your experiences — we appreciate your honesty and passion. Here’s a quick update on where things stand: Item dropdown no longer goes off-screen Several users noted that …
Continue reading “Update on User Experience Feedback from the Reddit Thread (General Available)”
ADO.NET is a widely adopted data access technology in the .NET ecosystem that enables applications to connect to and work with data from databases and big data platforms. The Microsoft ADO.NET Driver for Fabric Data Engineering lets you connect, query, and manage Spark workloads in Microsoft Fabric with the reliability and simplicity of standard ADO.NET …
Continue reading “Microsoft ADO.NET Driver for Microsoft Fabric Data Engineering (Preview)”
Enterprise analytics platforms increasingly operate under strict security, compliance, and regulatory requirements. For many organizations, encryption is not sufficient without clear ownership and control of cryptographic keys.
