In ETL testing, how is 'data quality score' typically calculated?
- Average data discrepancy
- Count of data errors
- Ratio of valid to total records
- Sum of data anomalies
The 'data quality score' in ETL testing is often calculated as the ratio of valid records to the total number of records. It provides a quantitative measure of the data quality, indicating the percentage of accurate and error-free data.
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