Advanced Model-Based ETL testing

Accurately model ETL transformation rules and generate comprehensive test data for rigorous and efficient ETL testing.

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Is your ETL testing rigorous enough for true Business Intelligence?


Watch this end-to-end demo to discover how the Curiosity’s solution set provides a structured and automated approach to ETL testing. Find out how synthetic data generation can create test data for every scenario, validating data transforms comprehensively. Learn about how an easy-to-use Model-Based approach defines expected results in a structured manner, while automatically updating test data as the model changes. The result is rigorous ETL testing that can keep up with changing transformation rules, all integrated into existing testing frameworks.

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