This project is a relational SQL sample database and synthetic testing dataset. It provides a standardized data model of a fictional digital media store, encompassing business entities such as artists, albums, tracks, customers, and invoices.
The dataset is designed as a cross-dialect SQL collection, using compatible scripts to ensure consistent data seeding and environment parity across different database server engines. It combines imported metadata with fictitious personal details to create realistic records for software prototyping and demonstrations.
The project covers capabilities for relational schema modeling and the generation of sample datasets. These resources are used to validate database query results, verify relational mapping logic, and test object-relational mapping tooling.