domains / families / data / data-profiler

data-profiler

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Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning.

When to use

• data quality assessment
• ETL planning
• identifying data issues
• understanding data characteristics
• analyzing distributions
• detecting anomalies and outliers
• checking referential integrity

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