Computational Management Of Data

Computational Management Of Data is a Python-based toolkit that helps with modeling, storing, querying, and processing data from .csv and .json sources. It integrates relational and graph database paradigms via tools like SQLite, rdflib, Blazegraph, and SPARQL.

Features

• Load and manage tabular data (CSV / JSON) in Python (via pandas)
• Model data using relational and graph-based approaches
• Store data using SQLite (for relational) or RDF stores (for graph)
• Execute complex queries via SQL and SPARQL
• Bridge between relational and graph representations
• Test suites and example workflows included

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Repository Structure

• Data/ — contains .csv / .json files used for demonstrations or as raw inputs
• Main/ — scripts or modules that orchestrate data loading, modeling, execution
• Models/ — implementation of different data models and mappings (relational, RDF, etc.)
• Tests/ — automated test suite to ensure correctness and regression checks