Applications and databases have their own logic and unique properties. For test data to be realistic and helpful, it must reflect production characteristics such as:
• selection conditions (business rules)
• data attributes and transformations
• inter-field/key relationships (referential integrity)
• value ranges and calculations
To ensure test tables and files have the right spectrum of data so that applications are pre-stressed to production conditions, test data must accurately reflect:
• type - are the field values of the correct form?
• width - are values in the current (and future) range?
• depth - does data volume meet scalability requirements?
Solutions:
Applications developed with realistic data formats and volumes are more likely
to succeed against future production data. IRI's RowGen (Test Data) product creates custom test files with randomly-generated data,
or with data that is randomly selected from real set files.
RowGen features conditional selection and formatting capabilities that create test data in specified value, volume and data type ranges, and within rapidly transformed and custom-formatted file formats. For example, you can randomly select data - and specify ranges - from pools of real data and weighted numbers to populate output(s) that look and behave right in your application environment.
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