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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Role · Data science
Data science workflows with human approval gates
Human judgment in data workflows. These are complete, copyable workflows that add a human decision before expensive, destructive, or irreversible automation runs.
Data reconciliation: a SQL example and an exception workflow
Compare source and target data with a runnable SQL example. Find missing rows and mismatched values, investigate differences, and review exceptions.
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Data contracts: define expectations and review breaking changes
Define a data contract with schema, meaning, quality rules, and ownership. Separate automated validation from review of breaking changes.
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dbt full refresh: rebuild models with a reviewed scope
Use dbt full refresh for incremental models, check configuration overrides, preview model selection, and add approval before a production rebuild.
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ML model promotion approval workflow: staging to production safely
A copy-paste ML model promotion approval workflow that gates staging-to-production releases with evaluation metrics and safe rollback behavior.
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Want the shortest path to production approval gates?
Actionbox is a hosted decision layer: create an Action from any script, SDK, or CI system, and get the answer back without building an approval system.