Testing data serves multiple purposes. Boundary conditions (long fields, unicode etc) is important for invalidation testing. (i.e. Testing to break your code a

Testing data serves multiple purposes. Boundary conditions (long fields, unicode etc) is important for invalidation testing. (i.e. Testing to break your code and functionality) Testing at scale is important for performance and predicting bottlenecks as you grow. (i.e. Testing to break your systems capacity) It can be difficult to generate good quality test data at scale, and data based on your specific schema. This is how http://goodtestdata.com/ http://goodtestdata.com/ came about. It has the building blocks of core data and new sources can be built on request.