![]() Many organizations invest heavily in their User Acceptance Testing (UAT) environments, setting up infrastructure that mimics the production environment, and often using replicated production data. ![]() This article takes a first look at how to use Redgate’s SQL Data Generator as a random data generator to populate SQL server databases with fake but realistic data. For certain types of tests, such as stress and load testing, they will also need to be able to generate test data in volumes comparable to future production requirements. Developers need a fake data generator that they can use to produce test data sets that match the characteristics and distribution of the real data as closely as possible, so that they can perform effective test-driven development, for databases, right from the start of the development cycle.
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