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1.3.2. Database Projects in Visual Studio Code

💡 First Principle: Database projects enable schema management as code, supporting CI/CD for data warehouse schemas separate from the data itself.

Scenario: Your data warehouse schema needs to evolve: new columns, modified procedures, updated views. Database projects let you manage these changes in VS Code, test them, and deploy through controlled pipelines.

Creating a Database Project

  1. Connect to Fabric Warehouse in VS Code
  2. Right-click connection → Create Project From Database
  3. Schema imported as SQL files (tables, views, procedures)
  4. Modify schema in VS Code
  5. Deploy changes back to Fabric

⚠️ Common Pitfall: Using "Manage Packages" instead of "Create Project From Database." Managing packages is for library dependencies, not schema extraction. The correct action is Create Project From Database.

Key Trade-Offs:
  • Full Schema Import vs. Selective: Importing entire schema captures everything but may include unwanted objects
  • Immediate Deploy vs. Pipeline Deploy: Direct deployment is faster for development; pipeline deployment is safer for production