How do data volume and complexity affect test requirement analysis in ETL testing?
- They decrease the need for testing
- They have no impact on testing
- They increase the need for comprehensive testing
- They only affect data extraction
In ETL testing, higher data volume and complexity increase the need for comprehensive testing. Larger datasets and complex data structures introduce more potential points of failure, requiring thorough analysis and testing to ensure data integrity and accuracy throughout the ETL process.
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