What is the main objective of data completeness testing in an ETL process?
- Checking data consistency across different sources
- Ensuring all expected data is loaded into the target system
- Validating the speed of data extraction
- Verifying the accuracy of transformed data
Data completeness testing in ETL aims to ensure that all expected data is successfully loaded into the target system. It verifies that no data is missing during the extraction, transformation, and loading phases, maintaining data integrity.
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