Mirroring in Microsoft Fabric provides low-cost, low-latency replication of operational data into OneLake, enabling near real-time analytics without complex ingestion pipelines. As the catalog of supported source systems continues to grow, data practitioners can increasingly adopt a OneLake-native approach, treating mirrored data as the bronze layer and focusing engineering effort on creating trusted data products.
With release 5.0 Fabric Accelerator now supports a new OneLake-Native ELT Pattern for Microsoft Fabric Mirrored Databases. Because mirrored data already lands in OneLake, no separate ingestion process is required. Instead, the Fabric Accelerator metadata framework has been enhanced to orchestrate and automate transformations through the silver and gold layers while maintaining the same governance, quality, and engineering rigor as traditional ingestion-based pipelines.
Benny Austin 