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As more organizations standardize Microsoft Fabric for end-to-end analytics, upgrading existing Azure Data Factory (ADF) workloads is a key step in modernization.
To make this transition simpler and more predictable, we’re introducing a new built-in migration experience that helps you assess, plan, and migrate ADF pipelines to Fabric Data Factory in a few simple steps.
Capabilities:
Figure: Assess your Azure Data Factory for migration.
2. Review assessment results
Each pipeline is categorized as Ready, needs review, Coming soon, or Unsupported. You can also export a CSV report to support offline review and remediation planning.
Screenshot_showing_migration_assessment_results_for_the_Azure_Data_Factory_chose
Figure: View Assessment results.
3. Mount your Azure Data Factory to Fabric
After reviewing the assessment, select Next to mount your Azure Data Factory to a Fabric workspace and continue the migration flow in Fabric.
Screenshot_showing_Fabric_workspace_selection_dropdown
Figure: Mount your Data Factory to Fabric.
Confirmation_message_showing_successful_mounting_of_the_chosen_Azure_Data_Factor
Figure: Showing Successful mounting to Fabric.
Once successfully mounted, continue next steps in Fabric.
Migrate pipelines into Fabric Data Factory
Now continue the migration steps from Fabric UX by selecting Migrate to Fabric (Preview) button. Choose the pipelines you want to migrate and map ADF linked services to Fabric connections. You can either select existing connections or create new ones using the modern get‑data experience, then select Confirm.
Screenshot_showing_the_entry_point_button_for_Migration_in_Fabric
Figure: Begin migration from Fabric.
Control what you’d like to migrate by selecting the pipelines for migration
Screenshot_showing_Pipeline_selection_option_before_migrating
Figure: Start Migration in Fabric.
Screenshot_showimg_Linked_Services_to_Fabric_Connections_mapping
Figure: Map Azure Data Factory Linked Services to Fabric Connections.
Pipelines migrate safely, with triggers disabled by default, so you remain in full control of execution.
Differences between Data Factory in Fabric and Azure - Microsoft Fabric | Microsoft Learn
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