Reconcile a Backfill Before Release
Plan a backfill release check using control totals, scoped diffs, and downstream impact review.
A six-month product usage backfill changes 148 million rows and feeds executive dashboards. Release a backfill only when the observed diff matches the expected diff envelope and downstream impact is known. The common trap is treating a successful transformation as a successful backfill. A backfill can complete perfectly while rewriting the wrong history. Expected diff Document expected changes: attribution shifts only for usage events from January through June where campaign_id was missing. You need a hypothesis for what should change before you can judge what did change. Control totals Compare monthly row counts, total usage minutes, attributed usage minutes, and…
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