Which metric is commonly used to assess the accuracy of data in ETL testing?

  • Data Accuracy
  • Data Completeness
  • Data Consistency
  • Data Integrity
Data Accuracy is commonly used to assess the correctness and precision of data in ETL testing. It measures how closely the extracted, transformed, and loaded data aligns with the expected results or business requirements. Evaluating data accuracy helps ensure that the ETL process maintains the integrity and reliability of the data.
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