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Bytes & Beyond

MongoDB

MongoDB architecture, performance patterns, scaling strategies, and Node.js integration

MongoDB

Welcome to the MongoDB learning hub. This section covers MongoDB’s unique document model, architecture, and best practices for building scalable applications.

Articles

Foundational Concepts

  1. The Filing Cabinet vs. The Excel Sheet

    • Understand the fundamental difference between MongoDB’s document model and traditional relational databases
    • Mental models for thinking in documents instead of rows and columns
    • Explore JSON/BSON structures and embedding vs referencing basics
  2. Why Mongoose Exists in a Schema-Flexible World

    • Discover why MongoDB’s flexibility needs Mongoose schemas for structure
    • Learn how schemas bring consistency and validation to flexible documents
    • Understand schema design patterns and best practices
  3. The Architecture of Speed

    • Efficient ID generation and performance in MongoDB & Node.js
    • How MongoDB handles ObjectIds without waiting for the database
    • Understanding MongoDB’s write path
  4. The Backpack vs. The Library

    • The complete guide to Embedding vs. Referencing in MongoDB
    • When to embed data vs when to use references
    • Performance implications and best practices

Coming Soon

More comprehensive guides are being prepared on:

  • Query optimization and indexing strategies
  • Aggregation pipeline for data transformation
  • ACID transactions in MongoDB
  • Replica sets and high availability
  • Sharding and horizontal scaling
  • Production monitoring and observability

Learning Path

  1. Start with Filing Cabinet vs. Excel Sheet to understand the document model
  2. Learn Mongoose Schemas for structured development
  3. Explore Architecture of Speed for performance insights
  4. Master Embedding vs. Referencing for optimal schema design

More articles coming soon!