Every Fabric item—whether a Notebook, Report, Semantic Model, Pipeline, or KQL Dashboard—has an underlying item definition: a portable, structured payload containing the item’s full configuration and content encoded in Base64. Bulk Import & Export APIs enables.
As organizations continue to scale analytics and AI initiatives, protecting sensitive data has never been more critical. With Microsoft Fabric, we are building data security directly into the analytics platform—so protection is consistent, automated, and enforced wherever data lives and travels. Today, we’re sharing several new data protection capabilities in Microsoft Fabric, powered by deep … Continue reading “New data protection capabilities in Microsoft Fabric: Native security for the modern data estate”
Following the SQL database in Microsoft Fabric (Generally Available) at Microsoft Ignite in November 2025, customer adoption has accelerated. Organizations are modernizing SQL workloads, reducing operational overhead, and bringing operational data closer to analytics and AI. This next wave of capabilities builds on the preexisting pillars—Simplified, Autonomous & Secure, and Optimized for AI—driven directly by customer feedback.
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 … Continue reading “Fabric March 2026 Feature Summary”
AI is rapidly changing how we create, use, and trust data. This shift places new, simultaneous demands on two critical groups. Developers are being asked to build production‑grade, data‑powered applications with the same rigor, automation, and observability expected of modern software systems. Administrators, meanwhile, must scale governance, security, and capacity to support explosive growth in users, data assets, and AI‑driven workloads without slowing innovation.
