![]() ![]() Using QueryS urge allows your team to implement a repeatable data validation and testing strategy that avoids the adverse impact any of these defects can have on your data and on your business intelligence and analytics efforts. Finding Bad Data (also known as Data Bugs) Results can be automatically emailed to your team and inserted into the defect tracking solution of your choice. Tests can be automatically triggered by an event, such as when a ETL/build process completes and tests can be added to a reccurring schedule in Query Surge. You can run tests either immediately or schedule them for a particular date and time. Step #2: Testing the Transformations (ETL)įor data with transformations, you can create Query Pairs in our Design Library - one aimed at the existing data store and one at the new data store. Quickly verify table-to-table and column-to-column compares, and row counts.Can auto-link columns to create tests quickly.
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