You're planning a migration from one data system to another and need a clean way to move pipeline logic, historical data, and downstream dependencies without corrupting records or creating reporting gaps. You want a migration approach that keeps data trustworthy while both systems may run in parallel for a period.
How do you ensure data integrity when migrating between systems?
ETL migration planningIdempotent loads and replay safetyData quality validationBackfill strategyWorkflow orchestration during cutover