Intelligent Data Quality Monitoring Concepts

Understanding these fundamental concepts is essential for effective use of Alation Data Quality:

• Check : A validation rule applied to specific data metrics, returning pass, fail, or error status based on defined thresholds. Examples include accuracy checks (validating numeric ranges), completeness checks (ensuring no missing values), or validity checks (format validation).

• Monitor : A container grouping one or more checks tied to tables and their attributes, executing on a defined schedule.

• Asset : A table and its columns from a data source or BI report actively monitored for quality metrics.

• Health Score : An aggregated indicator reflecting the pass or fail ratio across all checks within a monitor or asset.