Microsoft Fabric Updates Blog

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 “

Announcing the public preview of task flows in Microsoft Fabric

Leverage the power of task flows to design and build your data solutions and manage workspace items in Microsoft Fabric. We’re thrilled to announce that the task flows feature is now in public preview and is enabled for all existing Microsoft Fabric users. Fabric is unifying everything needed to deliver end-to-end data and analytics solutions … Continue reading “Announcing the public preview of task flows in Microsoft Fabric”

Announcing Microsoft Fabric Community Conference Europe

Earlier this year, we hosted our first-ever Microsoft Fabric Community Conference in Las Vegas, and the response blew us away! Read about the event here. Over 4,200 attendees engaged with experts from engineering, our customers and our community to learn, engage and get hands-on experience with Fabric. We presented, demoed and discussed data warehousing, data movement, … Continue reading “Announcing Microsoft Fabric Community Conference Europe”

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”