This project focuses on solidifying your understanding of the document data model and relational model using MongoDB and MySQL.
- Grasp the core concepts of document and relational data models. Evaluate the strengths and weaknesses of each model for a chosen use case.
- Design sample schemas for the use case in both (MongoDB) and a relational database (MySQL).
- Analyze the trade-offs in terms of data flexibility, querying complexity, and scalability for each approach.
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Choose a Use Case: Select a real-world scenario or a fictional application that requires data storage. Examples: E-commerce product catalog, social media platform user data, library book management system.
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Document Data Model Analysis: Research and define the document data model for the chosen use case.
- Identify relevant entities and their attributes.
- Explore how nested documents and arrays can represent complex relationships within documents.
- Consider the flexibility of schema design in MongoDB.
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Relational Data Model Design: Design a relational database schema for the same use case.
- Define tables and their relationships using foreign keys.
- Analyze how data normalization principles apply.
- Consider the potential need for joins in queries.
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Comparison and Analysis: Compare the document and relational models you created.
- Evaluate how each model handles data complexity and growth.
- Discuss query efficiency and potential challenges in each approach.
- Analyze the scalability of both models for the chosen use case.
- A report outlining the chosen use case, document data model design, relational data model design, and a comparative analysis highlighting the strengths and weaknesses of each approach.
- Optional: Code snippets demonstrating sample queries in both MongoDB and the chosen relational database management system.