This document discusses agile practices for data warehousing, including test-driven development, using a backlog, and kanban workflows. It emphasizes treating data modeling as an iterative process by writing data stories to define requirements, prioritizing stories, and developing the data model and interfaces in small batches. Testing is integrated throughout via test data and test cases added to the backlog. Visual tools like cumulative flow diagrams help optimize workflows by limiting work in progress.