What is a data anomaly in the context of ETL testing?
- Data Abnormality
- Data Discrepancy
- Data Inconsistency
- Data Irregularity
In ETL testing, a data anomaly refers to a Data Discrepancy, which indicates differences or irregularities in the data between the source and target systems. Identifying and resolving such anomalies is crucial for ensuring data accuracy and integrity.
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