Microsoft Fabric Updates Blog

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Microsoft and Snowflake: Simplified interoperability with no data movement

Data today lives everywhere—across apps, services, and clouds. Every department has its own analytics stack, AI tools, and preferences, and what used to be a manageable data landscape is now a distributed web of systems. But now, in the era of AI, bringing this data together has never been more important as we build agentic …

Two Years in: How Fabric Redefines the Modernization Path for Synapse Users

Two years ago, we introduced Microsoft Fabric to Azure Synapse users as a bold new direction for analytics—one that promised unification, simplicity, scale. Today, that promise has matured into a complete platform that’s not just ready for enterprises, it’s built for them. To be very clear: Synapse continues to be supported. We will fix bugs, …

What’s New for Fabric Data Agents at Ignite 2025: Unlocking Deeper Data Reasoning and Seamless AI Interoperability

From Unstructured Data and Ontology to Seamless Integration with M365 Copilot and MCP Fabric data agents are evolving rapidly, and today we’re announcing many new capabilities that make it easier than ever to build modular, production-ready agentic solutions on your enterprise data in Fabric! At their core, Fabric data agents are interoperable AI agents that …

New Partner Integrations for Microsoft Fabric Unlocking AI and Analytics Opportunities

Unlocking value with partner workloads for Microsoft Fabric and data unification integration for Microsoft OneLake. Microsoft Ignite 2025 marks a pivotal moment for the Microsoft Fabric ecosystem, as we welcome a new wave of ISV partners whose integrations promise to redefine the boundaries of data analytics, AI, and business innovation. Building on the momentum from …

Advancing Data Integration: Innovation in Data Factory in MS Fabric at Ignite 2025

Microsoft Fabric isn’t just another data platform—it’s a game-changer, delivering enterprise-grade data integration at scale. At its foundation is Microsoft OneLake, a unified data lake that enables zero-copy and zero-ETL strategies—eliminating redundant data movement and complex pipelines. This approach helps organizations break down silos and maximize the value of their data, whether it resides in …