Migrating SQL databases to Microsoft Fabric can seem daunting, especially when organizations have invested years into finely tuned schemas, stored procedures, and workflows. However, the process doesn’t need to be a reinvention. By leveraging well-established SQL techniques such as Database Projects (DACPACs), backup files (BACPACs) or brand new features like Mirrored databases, you can seamlessly migrate your databases into Fabric while maintaining data integrity and compatibility with new features.

This session explores practical techniques to migrate SQL databases to Fabric using these tools, enabling you to make the most of Fabric’s ecosystem without discarding your existing SQL investments.

💡 What You'll Learn:
1. How Database Projects to version-control schemas works in Fabric.
2. The difference between DACPACs and BACPACs, and when to use each.
3. Step-by-step demonstration of migrating schema and data into Fabric SQL Databases, using Azure DevOps pipelines to automate deployment workflows.
4. Using Mirrored Azure Databases in Fabric as alternative to migration

By leveraging tools like Azure Data Studio, Database Projects and Deployment pipelines, migrating to Fabric SQL Databases becomes a smooth, predictable process. These techniques allow you to preserve years of SQL investments while unlocking the power of Fabric’s integrated data and AI services.

Whether you're modernizing legacy databases or adopting Fabric for the first time, these approaches provide a clear path forward.

Session Duration: Designed as a 1-hour session.
Target Audience: Developers, DBAs, and Data Engineers interested in modernizing SQL workloads and exploring Microsoft Fabric's capabilities.
Technical Requirements: Basic familiarity with SQL databases, Database Projects, and DevOps pipelines is recommended.
Additional Resources: Attendees can explore the companion article for this session, SQL Meets Fabric: Migrate and Version-Control Your SQL Workloads, available on my blog: https://www.techtacofriday.com/sql-meets-fabric-migrate-and-version-control-your-sql-workloads/.