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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 […]
In the previous blog, we briefly introduced DBT (Data Build Tool) and the fundamental ways it could change how you analyze and transform your data. We discussed the basics, explored its main components, and established the basis for comprehending its capabilities. DBT (Data Build Tool) is a remarkable data analytics tool that is becoming increasingly […]
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