ETL Testing Training Fees

Based on the current trend towards automation and large data volumes, ETL testing has a significantly better future compared to manual testing as it can efficiently handle massive data sets and complex transformations, making it crucial for data-driven organizations, while manual testing is likely to be increasingly focused on specific use cases where human intuition is valuable.

The future of testing lies in a hybrid approach combining automated ETL testing for data integrity with manual testing for specific areas where human judgment is crucial.

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In ETL testing, severity and priority are two important concepts used to classify defects or issues found during testing: *Severity*: - Refers to the impact or seriousness of a defect on the ETL process or data quality. - Typically categorized as: - Critical (High): Data loss, corruption, or significant inaccuracies. - Major (Medium): Noticeable impact on data quality or ETL process performance. - Minor (Low): Cosmetic issues or minimal impact on data quality. *Priority*: - Refers to the urgency or importance of fixing a defect. - Typically categorized as: - High: Must be fixed immediately to prevent significant impact. - Medium: Should be fixed soon to prevent moderate impact. - Low: Can be fixed later, as the impact is minimal. Real-time example: Suppose we're testing an ETL process that loads customer data into a data warehouse. *Defect 1*: - Issue: Customer names are truncated to 10 characters during loading. - Severity: Major (Medium) - noticeable impact on data quality. - Priority: Medium - should be fixed soon to ensure accurate reporting. *Defect 2*: - Issue: Customer data is not being loaded due to a mapping error. - Severity: Critical (High) - significant impact on data quality and reporting. - Priority: High - must be fixed immediately to prevent data loss. *Defect 3*: - Issue: The ETL process logs are not displaying the correct timestamp. - Severity: Minor (Low) - cosmetic issue with minimal impact. - Priority: Low - can be fixed later, as it doesn't affect data quality or process performance. By categorizing defects based on severity and priority, we can focus on fixing the most critical and high-priority issues first, ensuring the ETL process is stable, accurate, and reliable. read less