// Cloud Data Warehouse Migration Strategies

Migration is rarely a straight lift-and-shift. Schema and naming often need a cleanup pass; use the move as a chance to fix technical debt and align with cloud-native patterns (e.g. separate compute and storage, use external stages).

Cost surprises usually come from full table scans, unnecessary clones, or under-tuned warehouses. Use query history and resource monitors early; set up budgets and alerts before go-live.

Testing and cutover need a clear plan: data validation (row counts, checksums, sample queries), parallel run periods, and a rollback path. Migrate in phases (schema, then history, then cutover) to reduce risk.

→ Key takeaway: Treat migration as a redesign opportunity. Validate data and cost early, and cut over in phases with a rollback plan.