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Generating Realistic and Non-Random Sample Data

(Mark Frawley) Have you ever needed to populate a database with realistic, but generated (as opposed to actual) data, in volumes that demand automation? Such a need arises in many circumstances, such as: –Stress-testing on new applications where historical data does not yet exist. –Data Scrub

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