{"active":true,"blog_title":"New Dataflow Gen2 data destinations and experience improvements","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-dataflow-gen2-data-destinations-and-experience-improvements","feature_description":"We are introducing Amazon S3 as a new data destination for Dataflow Gen2 in Preview, enabling customers to publish transformed data from Microsoft Fabric directly into Amazon S3 using Dataflow Gen2's low-code Power Query experience.This preview expands Dataflow Gen2's destination ecosystem to better support multi-cloud data architectures, making it easier for customers with existing AWS investments to integrate Fabric-based transformations into their broader data lake and analytics environments.Key benefits and scenarios:* Publish curated outputs from Dataflow Gen2 directly to Amazon S3 buckets* Support AWS-based data lake and downstream analytics scenarios while keeping transformation logic centralized in Fabric* Enable teams to prepare, standardize, and shape data in Fabric before making it available to AWS services such as Athena, Glue, or other S3-based processing pipelinesDuring Preview, the Amazon S3 data destination is intended for evaluation and early adoption, allowing customers to validate cross-cloud integration patterns, performance characteristics, and operational workflows before using it for business-critical pipelines.This preview is part of our broader effort to make Dataflow Gen2 a flexible, low-code transformation layer across clouds, with continued investments planned to mature and expand multi-cloud destination support in Microsoft Fabric.","feature_name":"Dataflows - New Data Destination: AWS S3","last_modified":"2026-06-02","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"1f2fe2c0-3535-f111-88b3-000d3a376c0f","release_status":"Planned","release_type":"Public preview"}