March 18, 2026 by Katie Murray 170,063 Views
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 …
Welcome to the April 2026 edition of the Fabric Influencers Spotlight, a recurring monthly post here to shine a bright light on the places on the internet where Microsoft MVPs & Fabric Super Users are doing some amazing work on all aspects of Microsoft Fabric. The Microsoft Fabric Community team has created the Fabric Influencers Spotlight to …
Nested folders, shortcut transformations, subfolder processing, OneLake, shortcuts, Lakehouse Data lakes rarely come in flat structures. In practice, data is organized across multi-level folder hierarchies, partitioned by date, region, source system, or business unit. Previously, shortcut transformations processed files at a single folder level, requiring users to set up separate transforms for each subdirectory. Moving …
Continue reading “Nested folders support in shortcut transformations (Generally Available)”
As enterprises adopt OneLake as their unified data lake for analytics, securing how external services access data in OneLake becomes increasingly important—especially in environments where public internet access must be tightly controlled. Today, we’re introducing resource instance rules for OneLake in preview. This new capability allows workspace admins to explicitly allow inbound access from trusted …
Continue reading “Resource instance rules for OneLake in Microsoft Fabric (Preview)”
Machine learning teams need more than a great model — they need a reliable way to move that model from experimentation to production. Cross-workspace logging for MLflow in Microsoft Fabric, is a capability that enables you to build end-to-end MLOps workflows using the standard MLflow APIs you already know. Figure: Animated gif of Log ML …
Coauthor: Nikola Zagorac In today’s data-driven world, the ability to capture and act on data changes in real time is a competitive necessity. From financial services processing millions of transactions per second to e-commerce platforms tracking inventory and customer behavior, real-time data streaming has become the backbone of modern decision-making—and nowhere is this more critical …
