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Idempotency in Data Pipelines: Patterns and Best Practices Introduction What happens when your data pipeline runs twice? In development, a second run may not seem like a big problem. In production, however, duplicate processing can lead to incorrect records, inflated metrics, inconsistent reports, broken downstream processes, and expensive data cleanup. Idempotency means designing a pipeline […]