Dataflows - Support for Mapping Data Flow transformations in Dataflow Gen2

Description

Change History

1. 2026-06-16
   Restored to Roadmap
2. 2026-06-16
   Removed from Roadmap
3. 2026-06-08
   Release Status Planned -> Shipped
4. 2026-06-02
   Feature Description Low-code Spark transformations are coming to Dataflow Gen2 bringing the proven low-code Spark-based transformation capabilities of Azure Data Factory and Azure Synapse directly into Microsoft Fabric. With this enhancement customers can author and run complex data transformations at scale using the same visual code-free experience they rely on today--now natively integrated into the Fabric Dataflow Gen2 experience.This capability unlocks the full power of Mapping Data Flows within Fabric enabling advanced transformations that are optimized for large datasets and predictable performance. Data engineers and analytics teams can take advantage of Spark-based execution while staying within a unified Fabric Data Factory environment reducing the need for separate tools and simplifying operational management.Just as importantly upcoming support for Spark transformations in Dataflow Gen2 enables a seamless migration path for existing Azure Data Factory and Synapse customers. Teams can move their existing Mapping Data Flow assets into Fabric Data Factory with minimal rework preserving investments in transformation logic while modernizing their data integration architecture on Fabric. -> Mapping Data Flow transformations are coming to Dataflow Gen2 bringing the proven low-code Spark-based transformation capabilities of Azure Data Factory and Azure Synapse directly into Microsoft Fabric. With this enhancement customers can author and run complex data transformations at scale using the same visual code-free experience they rely on today--now natively integrated into the Fabric Dataflow Gen2 experience.This capability unlocks the full power of Mapping Data Flows within Fabric enabling advanced transformations that are optimized for large datasets and predictable performance. Data engineers and analytics teams can take advantage of Spark-based execution while staying within a unified Fabric Data Factory environment reducing the need for separate tools and simplifying operational management.Just as importantly upcoming support for Mapping Data Flow transformations in Dataflow Gen2 enables a seamless migration path for existing Azure Data Factory and Synapse customers. Teams can move their existing Mapping Data Flow assets into Fabric Data Factory with minimal rework preserving investments in transformation logic while modernizing their data integration architecture on Fabric. Name Dataflows - Support for Spark low-code transformations in Dataflow Gen2 -> Dataflows - Support for Mapping Data Flow transformations in Dataflow Gen2
5. 2026-04-29
   Feature Description Mapping Data Flows transformations are coming to Dataflow Gen2 bringing the proven low-code Spark-based transformation capabilities of Azure Data Factory and Azure Synapse directly into Microsoft Fabric. With this enhancement customers can author and run complex data transformations at scale using the same visual code-free experience they rely on today--now natively integrated into the Fabric Dataflow Gen2 experience.This capability unlocks the full power of Mapping Data Flows within Fabric enabling advanced transformations that are optimized for large datasets and predictable performance. Data engineers and analytics teams can take advantage of Spark-based execution while staying within a unified Fabric Data Factory environment reducing the need for separate tools and simplifying operational management.Just as importantly upcoming support for Mapping Data Flows in Dataflow Gen2 enables a seamless migration path for existing Azure Data Factory and Synapse customers. Teams can move their existing Mapping Data Flow assets into Fabric Data Factory with minimal rework preserving investments in transformation logic while modernizing their data integration architecture on Fabric. -> Low-code Spark transformations are coming to Dataflow Gen2 bringing the proven low-code Spark-based transformation capabilities of Azure Data Factory and Azure Synapse directly into Microsoft Fabric. With this enhancement customers can author and run complex data transformations at scale using the same visual code-free experience they rely on today--now natively integrated into the Fabric Dataflow Gen2 experience.This capability unlocks the full power of Mapping Data Flows within Fabric enabling advanced transformations that are optimized for large datasets and predictable performance. Data engineers and analytics teams can take advantage of Spark-based execution while staying within a unified Fabric Data Factory environment reducing the need for separate tools and simplifying operational management.Just as importantly upcoming support for Spark transformations in Dataflow Gen2 enables a seamless migration path for existing Azure Data Factory and Synapse customers. Teams can move their existing Mapping Data Flow assets into Fabric Data Factory with minimal rework preserving investments in transformation logic while modernizing their data integration architecture on Fabric. Name Dataflows - Support for Mapping Data Flow transformations in Dataflow Gen2 -> Dataflows - Support for Spark low-code transformations in Dataflow Gen2
6. 2026-03-26
   Roadmap Item Added