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Data Engineering
Introduction Every data engineer who has run dbt run --full-refresh on a 400-million-row table at 2 a.m. knows a specific dread: watching warehouse credits burn while reprocessing everything, when only a fraction of the data actually changed. dbt's answer — incremental models, materializations, snapshots, exposures — is a decade of...
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