Microsoft Fabric Updates Blog

Easily Move Your Data Across Workspaces Using Modern Get Data of Fabric Data Pipeline

We are excited to share that the new modern get data experience of data pipeline now supports copying to Lakehouse and Datawarehouse across different workspaces with an extremely intuitive experience.

When you are building a medallion architecture, you can easily leverage Data Pipeline to copy your data into Bronze Lakehouse/Warehouse across different workspaces. This feature was developed in response to valuable customer feedback, and we’re eager to hear your thoughts on it.

Let’s open the Copy Assistant inside a Data Pipeline to get started.

How to start Pipeline Copy assitant

When you choose your source or destination, the “OneLake data hub” tab offers a user-friendly way to locate your data across various workspaces by letting you to search your workspace name and filter on the connection types. This screenshot shows how easily users can find other workspace by searching the key words and filter on the connection types to continue.

When choosing your destination, you also can easily create the new Fabric artifacts from other workspaces by choosing different workspaces names under the “Workspace” dropdown.

Create LH in another workspace

Have any questions or feedback? Leave a comment below!

Related blog posts

Easily Move Your Data Across Workspaces Using Modern Get Data of Fabric Data Pipeline

June 12, 2025 by RK Iyer

Introduction Whether you’re building analytics pipelines or conversational AI systems, the risk of exposing sensitive data is real. AI models trained on unfiltered datasets can inadvertently memorize and regurgitate PII, leading to compliance violations and reputational damage. This blog explores how to build scalable, secure, and compliant data workflows using PySpark, Microsoft Presidio, and Faker—covering … Continue reading “Privacy by Design: PII Detection and Anonymization with PySpark on Microsoft Fabric”

May 29, 2025 by Amit Chandra

Microsoft Fabric and Azure Databricks are widely used data platforms. This article aims to address the requirement of customers who have large data estates in Azure databricks and want to unlock additional use cases in Microsoft Fabric arising out of different business teams. When integrating the two platforms, a crucial security requirement is to ensure … Continue reading “Integrating Fabric with Databricks using private network”