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Modern organizations are at a crossroads. Legacy SQL Server workloads need modernization, but migration complexity often stands in the way. What if you could bring your SQL databases into a unified analytics platform—without the hassle of manual schema conversion, complex ETL pipelines, or costly re-architecture?
That's exactly what the new Migration Assistant for SQL database in Microsoft Fabric delivers.
Following Announcing SQL database in Fabric (Generally Available), we've seen incredible momentum. Over 50,000+ SQL databases have been created in Fabric, and organizations are modernizing SQL workloads, reducing operational overhead, and bringing operational data closer to analytics and AI.
Now, with the Migration assistant (Preview), we're making it even easier to move SQL Server to Fabric with confidence.
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Figure: Migration Assistant for SQL Server in Fabric landing page.
From your Fabric workspace, select the "Migrate" button and select "Migrate to SQL database in Fabric".
Step 2: Upload DACPAC file
Export your source database schema as a DACPAC file using SQL Server Management Studio (SSMS), the MSSQL extension for VS Code, or SqlPackage. Upload it to the wizard for validation.
Step 3: Provision target database
Name your new SQL database in Fabric. The wizard provisions it in seconds.
Step 4: Deploy schema with compatibility checks
The Migration assistant imports your schema and identifies any compatibility issues. For example, if your source database uses a feature that is not supported in SQL database in Fabric, the assistant flags these objects and provides guidance.
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Screenshot_of_a_database_migration_assistant_interface_showing_a_metadata_migrat
Figure: Steps to migrate using the Migration Assistant.
Step 5: Copy Data
Once schema deployment is complete, launch a Fabric Copy Job to move your data. The assistant integrates with Fabric Data Gateway to securely connect to on-premises sources.
Run pre-deployment scripts (e.g., disable foreign keys) and post-deployment scripts (e.g., re-enable constraints) to ensure a smooth data load.
Step 6: Validate and go live
Review migration results in the Migration Assistant panel within the SQL Editor. Fix any remaining issues, validate your data, and you're ready to go live.
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