This project focuses on creating and managing a database for a music record company to perform various analyses on bands, albums, and songs. Using SQL, the goal is to create a structured relational database with relevant tables, insert necessary data, and perform queries that provide insights into the relationships between bands, albums, and songs.
CSKG. Compact, production-ready Python CLI and tooling to load, query and analyze a ConceptNet-style graph in Dgraph. Includes data conversion utilities, optimized bulk loading, and a command-line interface for common tasks.
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