Data Quality - CI/CD Glossary Definition

Data quality is the degree to which data is accurate, complete, consistent, and timely enough to trust.

Data quality measures how accurate, complete, consistent, and timely data is relative to expectations. Poor data quality silently breaks reports and models downstream.

Data quality is enforced with automated checks that run in the pipeline and fail the run when expectations are violated.

Dimensions

Common dimensions are accuracy, completeness, consistency, timeliness, uniqueness, and validity. Tools like Great Expectations or dbt tests assert these in CI.

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