Welcome to the ultimate guide for database modeling. This project covers everything a backend engineer needs to know to design high-performance, scalable, and reliable data systems using both SQL (Relational) and NoSQL (MongoDB).
This repository is organized into specialized modules:
Detailed guides and implementations for all standard database relationships.
- One-to-One
- One-to-Many
- Many-to-One
- Many-to-Many
20+ real-world examples across domains like E-commerce, Social Media, and Healthcare.
- Explore Entity Designs
Senior-level patterns specifically for MongoDB performance.
- Design Patterns Guide
- Patterns: Embedding vs Referencing, Bucket, Outlier, Extended Reference.
The technical side of making your database fast.
- Database Indexing: ESR Rule, Compound Indexes, Specialized types.
- Normalization vs Denormalization: Choosing the right philosophy.
Ensuring your data stays clean and consistent.
- Data Validation: Mongoose schemas, SQL constraints, and multi-layer strategy.
Common mistakes even senior engineers make and how to fix them.
- Common Modeling Mistakes
- Recommended Modeling Tools
- Start with Relationships: Understand the fundamental building blocks.
- Learn the Patterns: Move beyond basics with senior-level NoSQL strategies.
- Implement Validation: Always protect your data integrity.
- Optimize with Indexing: Ensure your queries run in milliseconds, not seconds.
- Review Mistakes: Learn from others' failures to build better systems.
Feel free to explore the folders and add more examples or implementations!