Migrate Your Power BI Semantic Models to Direct Lake with Ease

After watching this video, you'll be able to migrate your existing Power BI semantic models to Direct Lake, enabling you to leverage Microsoft Fabric's capabilities for improved performance and streamlined data management. Patrick LeBlanc demonstrates how to migrate Import and DirectQuery Power BI semantic models to Direct Lake using Michael Kovalsky's Semantic Link Labs Python tool. The video covers setting up the workspace, creating lakehouses, importing notebooks, and running migration scripts. Patrick tests the migration on models with custom partitions, composite models, and incremental refresh, highlighting practical tips and caveats. This hands-on walkthrough helps engineers understand how to transition their models to Direct Lake and optimize their data workflows within Microsoft Fabric. ✅ KEY TAKEAWAYS Learn to use Semantic Link Labs to migrate Power BI semantic models to Direct Lake. Understand how to prepare your workspace, lakehouse, and datasets for migration. Discover how to handle models with custom partitions, composite models, and incremental refresh. Gain insights on configuring Power Query templates and publishing dataflows in Fabric. Identify common challenges and solutions during the migration process. 🎥 RELATED VIDEOS Master Value Filter Behavior in Power BI Semantic Models:    • Master Value Filter Behavior in Power BI S...   Connection woes using Power BI Direct Lake and an App???:    • Connection woes using Power BI Direct Lake...   What's the real size of your data model in Power BI?:    • What's the real size of your data model in...   ⏱️ CHAPTERS 00:00 Introduction to Direct Lake Migration 01:00 Preparing Workspace and Lakehouse 02:00 Downloading and Importing Migration Notebook 03:00 Installing Semantic Link Labs and Setting Parameters 04:00 Creating Power Query Template and Importing Dataflow 05:00 Publishing Dataflow and Refreshing Lakehouse 06:00 Running Migration Script to Create Semantic Model 07:00 Verifying Migrated Model and Testing Reports 08:00 Handling Composite Models and Incremental Refresh 09:00 Tips, Caveats, and Final Thoughts Yooo! 🙌 take your data skills to the next level and join fellow data professionals in our community THE CUBE: https://www.guyinacube.com 🌐 LET'S CONNECT! Official website: https://guyinacube.com LinkedIn:   / guyinacube   Facebook:   / guyinacube   Instagram:   / guyinacube   Bluesky: https://bsky.app/profile/guyinacube.com X: https://x.com/guyinacube 🎤 HOST Patrick LeBlanc #guyinacube #powerbi #microsoftfabric #directlake #dataengineering