In ETL testing, what does the metric 'data completeness' refer to?
- The accuracy of data transformations
- The amount of data extracted from the source
- The consistency of data across multiple systems
- The presence of all expected data values
Data Completeness in ETL testing refers to the presence of all expected data values in the target system after the ETL process. It ensures that no data is lost or omitted during extraction, transformation, or loading, and that the target system contains all the necessary data for analysis or reporting.
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