Source hash pattern prevents data duplication from pipeline reruns
Tactic · Dev.to · stat: — A developer details a method for making data pipelines idempotent. The technique uses a hash of the source file's content, combined with a dataset ID and business date, to…
Tactic · Dev.to · stat: —
A developer details a method for making data pipelines idempotent. The technique uses a hash of the source file's content, combined with a dataset ID and business date, to create a unique key. This prevents duplicate processing on retries or backfills while allowing corrected files to be processed. The pattern is demonstrated in a public portfolio project.
Defensive data engineering prevents silent, costly metric corruption. This pattern ensures key metrics remain trustworthy despite inevitable pipeline reruns.
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