Guides ยท Technology
Data Quality Checks
Keep data trustworthy
Data quality checks enforce schemas, value ranges, uniqueness, and freshness to keep analytics and ML reliable.
- schema
- nulls
- uniqueness
- freshness
- dq rules
Define Rules
Set expectations for types, ranges, uniqueness, and nullability.
Automate
Run checks in pipelines; fail noisy but non-critical checks as warnings.
Monitor
Track violations over time and alert on regressions.