Microsoft Fabric Updates Blog

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, … Continue reading “Two Years in: How Fabric Redefines the Modernization Path for Synapse Users”

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 … Continue reading “Advancing Data Integration: Innovation in Data Factory in MS Fabric at Ignite 2025”

Fabric November 2025 Feature Summary

The November 2025 Fabric release introduces several major updates, including the general availability of SQL database, Cosmos DB, and enhanced mirroring support for key data sources such as SQL Server, Cosmos DB, and PostgreSQL. This month also brings new AI-driven features like Copilot sidecar chat tools and real-time data exploration, as well as crucial platform … Continue reading “Fabric November 2025 Feature Summary”

Simplifying Data Ingestion with Copy job – More File Formats with Enhancements

Copy job is the go-to solution in Microsoft Fabric Data Factory for simplified data movement, whether you’re moving data across clouds, from on-premises systems, or between services. With native support for multiple delivery styles, including bulk copy, incremental copy, and change data capture (CDC) replication, Copy job offers the flexibility to handle a wide range … Continue reading “Simplifying Data Ingestion with Copy job – More File Formats with Enhancements”