Microsoft Fabric Warehouse

Overview

We model and load a Fabric warehouse when you want T-SQL serving on OneLake without managing a SQL pool. Tables, views, and stored procedures follow a published model, and loads come from the lakehouse or from pipelines.

We set warehouse roles, a deployment route between workspaces, and the semantic models that are allowed to query it. Performance work focuses on the queries the reports actually run.

What we deliver

• Warehouse schema, views, and load procedures on Fabric
• Loads from the lakehouse or pipelines for each fact and dimension
• Workspace roles and a promotion path to production
• Query notes for the reports that will sit on the warehouse

Business benefits

• Report authors query T-SQL without a dedicated SQL pool to pause and resume
• The warehouse and the lakehouse share OneLake rather than a private copy
• Model changes are promoted between workspaces instead of edited in production