The "Missing Money Matters" project is an engaging SQL and NoSQL training exercise where I played the role of a data analyst for WSDA Music. Tasked with investigating financial discrepancies in the company's records, I utilized SQLite and MongoDB to analyze and manipulate data.
This repository contains my solutions to the "Missing Money Matters" project, a part of the SQL Essential Training series by LinkedIn Learning, using both SQL (SQLite) and NoSQL (MongoDB) databases.
The project involves investigating financial discrepancies in the records of WSDA Music between 2011 and 2012. It required applying SQL and NoSQL techniques to analyze data and identify potential suspects.
- Setup and queries for SQLite database.
- Focused on relational data structures and complex SQL queries.
- Setup and queries for MongoDB database using pymongo library in Python.
- Emphasized handling document-oriented and unstructured data.
The project involved data from Customers, Employees, and Invoices Tables / Collections from the WSDA Music Database, adapted for both relational and non-relational databases.
- Clone this repo.
- Set up SQLite and MongoDB environments.
- Execute SQL and NoSQL scripts as per the instructions.
Feel free to fork and contribute to this project. Enhancements and additional challenges are welcome.
Special thanks to Walter Shields for the foundational project design.
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