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Amazon Deequ usage and what sort of quality checks are done using it?

Python/Codingeasy0.2 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

**Deequ**—AWS data quality library. **Checks:** Completeness (non-null), uniqueness, consistency (constraints), statistics. **Example:** customer_id unique; age 0–120. **Output:** CloudWatch metrics. **Glue:** Profiling integration. **Why:** Code-defined checks; CI integration....

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Pro-Move: Anomaly detection + CI integration. Red Flag: Ad-hoc checks without automation.

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42 words

Deequ—AWS data quality library. Checks: Completeness (non-null), uniqueness, consistency (constraints), statistics. Example: customer_id unique; age 0–120. Output: CloudWatch metrics. Glue: Profiling integration. Why: Code-defined checks; CI integration. Scalability: AnomalyDetection for drift. Cost: Minimal—runs with Glue. Production: Checks in code; lineage in catalog.

⚡
Pro Tip

Pro-Move: Anomaly detection + CI integration. Red Flag: Ad-hoc checks without automation.

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