Other aspects of deployment, such as training, user acceptance work and management presentations can also use this fake data, if it is believable and consistent. In fact, it is not only development, but also the vast majority of testing that can use it, though there will always be a few tests that must be done on the live data, within the secure setting of the Staging environment. It is not just to create a table with sample data, or to insert dummy data into a database, during development. If you get it right, you can use this fake-but-realistic data in a variety of contexts. It can be made to conform in its size and distribution to the real data, especially with any indexed columns. It must, usually, be reasonably consistent, in that zip or post codes relate to the correct areas, states, regions or cities. It isn’t just databases that need these sample data sets: most applications can only be delivered if the development team has access to realistic, but fake, data. This type of development and test data is sometimes also called ‘spoof’ data, generated data, random data, or dummy data. What is fake data?įake data is sample data that looks as much as possible like real data but in fact has no relationship at all with the real data it is generated entirely randomly. He is a regular contributor to Simple Talk and SQLServerCentral. Phil Factor (real name withheld to protect the guilty), aka Database Mole, has 30 years of experience with database-intensive applications.ĭespite having once been shouted at by a furious Bill Gates at an exhibition in the early 1980s, he has remained resolutely anonymous throughout his career.
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