Microsoft Fabric Updates Blog

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Microsoft Fabric logo

Announcing Staging for Mirroring for Google BigQuery (Preview)

Introducing staging support for Mirroring for Google BigQuery (Preview), a major enhancement that dramatically improves the speed and efficiency of initial data replication from Google BigQuery into Microsoft Fabric. Why Staging Matters Previously, initial replication of large datasets from BigQuery into Fabric could be time-consuming. With staging enabled, organizations are now seeing performance improvements of …

Turning everyday documents from SharePoint and OneDrive into analytics ready data with OneLake shortcuts

We’re making it easier than ever to bring the files your business lives in every day, such as Word documents, Excel workbooks, PowerPoint decks and PDF files, directly into your analytics in Microsoft OneLake. With OneDrive and SharePoint shortcuts, you can now reference your existing files in Microsoft 365 as if they were part of …

Bridging the Gap: Automate Warehouse & SQL Endpoint Deployment in Microsoft Fabric

Deployment Challenges While Solutions Are in Development Microsoft Fabric has revolutionized data analytics with its unified platform, but deploying complex architectures with cross-dependencies remains a significant challenge for organizations. The good news is that the Microsoft Fabric team is actively working on native warehouse deployment capabilities with DacFx, cross-item dependency resolution, and cross-warehouse reference support. …

Exposing Lakehouse Materialized Views to applications in minutes with GraphQL APIs in Microsoft Fabric

In today’s data-driven world, the ability to quickly expose data through modern APIs is crucial. Microsoft Fabric’s API for GraphQL combined with Materialized Lake Views offers a powerful solution that bridges the gap between your Fabric LakeHouse data and application developers who need fast, flexible access to your data. In this guide, we’ll walk you …

Simplifying Data Ingestion with Copy job – Replicate data from Dataverse through Fabric to multiple destinations

Copy job is the recommended approach in Microsoft Fabric Data Factory for moving data from any sources to any destinations in a simplified and efficient way—whether you’re transferring data across clouds, from on-premises systems, or between services. With native support for multiple delivery patterns, including bulk copy, incremental copy, and change data capture (CDC) replication, …