This blog post aims to provide an introduction for creating a MySQL Docker image with predefined data in it. Therefore, it does not address explanations of basic docker commands and instructions.
Containerisation has many advantages. One advantage among these is getting up and running quickly with a production-ready data source, which has predefined data in it. This way we can share and use the application data state in local development environments easily.
In this article, we are going to create such a customized data source container, in order to speed up our development activities. Even though MySQL is used as the database system in this blog post, similar concepts are applicable to other database systems as well.
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