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.
Loading...
Related Quiz
- What advanced feature in SSIS assists in handling complex data integration scenarios?
- A company discovers a data breach in its ETL process. What steps should be taken to identify and mitigate the security flaw?
- What role does automated testing play in Big Data environments?
- Post-execution, test reports are ________ to summarize findings and outcomes.
- How do constraint-based data validation techniques differ from rule-based techniques in ETL?