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Microsoft Fabric Updates Blog

  1. Updates
  2. Jianlei Shen

Announcing New Data Factory Connectors Released in May 2024

We are excited to announce the release of several powerful new connectors in Fabric Data Factory this May 2024! These connectors will significantly enhance your data integration and transformation capabilities, enabling seamless workflows and expanding your data connectivity options. Here’s a detailed overview of the newly released connectors and a sneak peek at what’s coming … Continue reading “Announcing New Data Factory Connectors Released in May 2024”

Edit the Destination Table Column Type when Copying Data to Lakehouse Table, Data Warehouse and SQL Data Stores 

To improve the flexibility for copying data in Fabric Data Factory, we are excited to announce that now you can edit destination table column types when copying data!  Supported scenarios This new feature allows you to edit the data type of the column for a new or auto-created destination table, if your data destination is … Continue reading “Edit the Destination Table Column Type when Copying Data to Lakehouse Table, Data Warehouse and SQL Data Stores “

Copy Data from Lakehouse in Another Workspace Using Data pipeline

In this post, we will introduce the practice of copying data between Lakehouse that cross different workspaces via Data pipeline. In this example, we will copy data from a Lakehouse in another workspace to a Lakehouse in the current workspace by leveraging parameters to specify the workspace and Lakehouse. Follow the steps below to achieve … Continue reading “Copy Data from Lakehouse in Another Workspace Using Data pipeline”

Copy data to Amazon S3 & Amazon S3 Compatible via Fabric Data Factory Data Pipeline

We are happy to announce that copying data to Amazon S3 and Amazon S3 Compatible is now available in Data pipeline of Fabric Data Factory! You can use Copy assistant and Copy activity in your Data pipeline to finish this data movement.   How to create Amazon S3 & Amazon S3 Compatible connection  You can create … Continue reading “Copy data to Amazon S3 & Amazon S3 Compatible via Fabric Data Factory Data Pipeline”