Extract, Transform and Load (ETL)
General goals of testing an ETL application:
1. Data completeness. Ensures that all expected data is loaded.
2. Data transformation. Ensures that all data is transformed correctly according to business rules and/or design specifications.
3. Data quality. Ensures that the ETL application correctly rejects, substitutes default values, corrects or ignores and reports invalid data.
4. Performance and scalability. Ensures that data loads and queries perform within expected time frames and that the technical architecture is scalable.
5. Integration testing. Ensures that the ETL process functions well with other upstream and downstream processes.
6. User-acceptance testing. Ensures the solution meets users' current expectations and anticipates their future expectations.
7. Regression testing. Ensures existing functionality remains intact each time a new release of code is completed.
For more details please visit ETL Testing
Tuesday, August 17, 2010
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