Most fake data providers offer a wide variety of default generators and the ability to add custom definitions to them. However, ease of customization is not always a top priority in their architecture. Fortunately, one of the most important features of Dummy4j is the ability to easily extend the generator and provide custom definitions.
Reliable sets of automatically generated data enhance project testing and development. If your application has to handle non ASCII characters or support multiple languages, it is beneficial to consider those requirements when providing fake data.
Having a sufficient sample of lifelike data greatly improves the application development process. In most cases, when we start working on a project, we don’t have the luxury of having a well-stocked database we could use in development and testing. However, we can easily create such a database using a random data generator.