Chinook Database

Sample Databases - Provides a comprehensive sample database and dataset for software prototyping and demonstrations.

Relational Test Datasets - Combines real-world metadata with fictitious details to create realistic relational datasets for testing.

Relational Testing Datasets - Provides realistic mock records and relational mappings to validate database query results.

Entity Relationship Models - Defines a standardized set of entities and relationships representing a digital media store.

Relational Data Modeling - Implements a relational data model representing artists, albums, tracks, customers, and invoices.

SQL Dialect Adapters - Provides SQL scripts designed to be compatible across multiple different database server engines.

Cross-Dialect Datasets - Ships a collection of database scripts compatible with multiple SQL engines for consistent data seeding.

SQL Sample Databases - Provides a fictional media store relational dataset for testing SQL queries and schemas.

Synthetic Dataset Generation - Generates realistic database content based on a media store schema for software prototyping.

Data Seeding Utilities - Includes utilities to populate database instances with consistent records for testing and demonstrations.

Reference Data Population - Ships with a complete set of standardized reference records within the deployment scripts.

Dialect Transformers - Populates identical datasets across different SQL server types to maintain environment parity.

Public Data APIs - Sample SQL database for teaching and testing.

lerochachinook-database