dbt source freshness: configure checks and handle stale data
Configure dbt source freshness, choose warning and error thresholds, inspect results, and decide what downstream jobs should do when data is late.
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Copyable approval workflows about data-quality.
Configure dbt source freshness, choose warning and error thresholds, inspect results, and decide what downstream jobs should do when data is late.
Compare source and target data with a runnable SQL example. Find missing rows and mismatched values, investigate differences, and review exceptions.
Define a data contract with schema, meaning, quality rules, and ownership. Separate automated validation from review of breaking changes.