When Integrations Drift: Finding the Data That's Wrong
Blog post from Prismatic
Integration drift occurs when connected systems gradually become inconsistent despite successful execution logs, often due to missed or out-of-order events, partial batch failures, API limits, mapping or credential changes, direct edits, and flawed transformations. Drift can involve missing, duplicate, stale, incorrect, conflicting, or orphaned records, and may remain undetected because logs reflect only what an integration attempted or observed rather than later changes or events that never arrived. Data reconciliation addresses these discrepancies by comparing systems against defined business rules rather than forcing identical datasets, since integrations may intentionally sync only selected records or fields and systems may define terms differently. Investigating a mismatch should begin by determining whether it is genuinely problematic, assessing its scope, locating the last known-good state, identifying the authoritative system, checking whether the underlying cause persists, and considering the side effects of corrective writes, helping teams avoid superficial repairs that conceal broader failures.
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