What is "synthetic" test data and what is test data creation, or test data generation?
"If you require cross-domain consistent, synthetic data for testing or development, the Datamaker solution is easy and effective."
Edwin van Vliet, Test Data Manager for large Dutch Bank, Yacht Consultancy
"Can you create test data? Can you populate it into a database? Can you do it at a reasonable price? Grid-Tools has proven they can do all of this. In truth, I would be surprised how anyone launching a big system could do without a tool like this. It really is a mandatory thing to do."
Applied Card Technologies
How do Grid-Tools use data creation and data generation techniques?
Good quality test data is the key to the success of new and existing applications. Being able to generate test data quickly for a range of test cases will save organizations time and money. Testing is often performed on copies of production databases, which can lead to lost productivity during the testing process and/or exposure of sensitive live data. Grid-Tools uses data profiling to build a picture of how your data is related and then generates or creates new "synthetic" test data with the characteristics of production data. The generated data is also enriched with coverage techniques to ensure all combinations of data exist automatically. Likewise, across all databases and across the entire enterprise, the relational and business integrity and dependencies are always maintained.
Many developers and testers spend a large amount of time creating specific data to test new functionality. The Datamaker™ toolset allows you to quickly create and store new, high-quality data. The new data can be "tokenized" whereby, at create time, the data will be built with the specific data you need to test your requirements.
GT Datamaker™ allows you to build test sets of data which can be published directly into development or testing environments. The version of each test set can be easily upgraded, allowing test cases which are built for one version to easily be used in later versions of an application.
Datamaker™ also has the ability to create data where no data exists. This is highly compelling for organizations that simply cannot allow access to highly sensitive data. Datamaker™ does this through the use of data objects, which allow test data, based on common sets of data, to be standardized and easily created. Reference the Datamaker™ section for more information on synthetic data creation and other functionality.
How does Datamaker™ use data visualization when creating test data from scratch?
Watch the web demonstration to learn more about the different data creation methodologies and approaches. Learn more about Datamaker™ integrating with Data Design™ to apply coverage techniques. Use Datamaker™ to provision very rich combinations of data based on project requirements.
Datamaker™ data creation: sample, inherit, explode (the simple three step process)
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