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Microsoft Fabric Updates Blog

  1. Updates
  2. Jeroen Luitwieler

New Dataflow Gen2 data destinations and experience improvements

A new set of enhancements to Dataflow Gen2 in Microsoft Fabric significantly expands data integration and collaboration capabilities—enabling broader connectivity and streamlined workflows across teams. These updates are designed to meet the evolving needs of data professionals by offering more flexible destinations, schema support, and tighter integration with enterprise-grade platforms. Expanding Where Your Data Can … Continue reading “New Dataflow Gen2 data destinations and experience improvements”

SharePoint files destination the first file-based destination for Dataflows Gen2

The introduction of file-based destinations for Dataflows Gen2 marks a significant step forward in enhancing collaboration, historical tracking, and sharing data for business users. This development begins with SharePoint file destinations in CSV format, offering a streamlined way to share with users on the SharePoint platform. Overview of file-based destinations File-based destinations allow data to … Continue reading “SharePoint files destination the first file-based destination for Dataflows Gen2”

Announcing Public Preview: Incremental Refresh in Dataflow Gen2

Incremental Refresh in Dataflow Gen2 is now in public preview! This powerful feature is designed to optimize your data processing by ensuring that only the data that has changed since the last refresh is updated. This means faster dataflows and more efficient resource usage. Key Features of Incremental Refresh Incremental refresh in Dataflow Gen2 is … Continue reading “Announcing Public Preview: Incremental Refresh in Dataflow Gen2”

Wondering how to incrementally amass data in your data destination? This is how!

In a lot of scenarios, you want to only get new data from your sources and append it to your data destination to report over. With Dataflows Gen2 that comes with support for data destinations, you can setup your own pattern to load new data, replace some old data and keep your reports up to … Continue reading “Wondering how to incrementally amass data in your data destination? This is how!”