Test data managers are tools or systems used to manage data required for testing software applications. Some use cases for data test managers include test data generation, test data masking, test data subset creation, test data versioning, test data refresh, and test data analysis.
Test Data Generation
Test data managers can be used to generate large volumes of test data for software applications, This includes datasets that mimic real-world scenarios, datasets with edge cases, and negative data sets to test the software’s error-handline capabilities.
Test Data Masking
Test data managers can be sued to mask sensitive data, such as personal information, credit card numbers, or other confidential data so that it can be used safely in testing environments.
Test Data Subset Creation
The test data manager can be used to create a subset of data from larger data sets for testing purposes. This can be particularly useful when working with very large data sets, as it allows testers to focus on specific data points without having to process the entire dataset.
Test Data Versioning
The test data manager can be used to version test data, allowing testers to easily track changes made to test data and ensuring that the correct data is used for each test cycle.
Test Data Refresh
Test data managers can be used to refresh test data between cycles, ensuring that the data used in each cycle is up-to-date and accurate.
Test Data Analysis
Test data managers can be used to analyze the test data to identify patterns, trends, or anomalies, that may indicate issues with the software being tested.
How C² TDM Can Help
C² TDM allows you to test data generation, test data masking, test data subset creation, test data versioning, test data refresh, and test data analysis by bookmarking RDS databases at various points in time to perform your test. With C² TDM, bookmark as often or as little, giving you the power you need to test generation, test data masking, test data creation, test data versioning, test data refresh, and test data analysis. Manage your test data and experiment through our time-machine-designed user interface. Once you’re done, delete the bookmarks. Overall, rewinding to pivotal points in a database can be important for data recovery, auditing, analysis, and debugging purposes. By having the ability to go back to a specific point in time, you can ensure the integrity of the data, identify issues, and improve the overall quality of your database.