Why Does a Data Pipeline Keep Reprocessing Old Records?

A pipeline may repeatedly process old records when its watermark does not advance, source timestamps change, or retries are not recorded consistently. This can inflate totals and increase cost.

What to check

Compare source update time, ingestion time, watermark state, replay behavior, and job history. Identify whether records are intentionally restated or accidentally reloaded.

Recommended next step

Define replay and correction rules, then make processing idempotent and observable. Informatix Systems can assess data engineering and analytics pipelines.