MongoDB collection design
DynamoDB table and index design
Document structure modeling
Embedding vs. referencing decisions
Query pattern optimization
NoSQL indexing strategies
Data denormalization planning

Quick Start

Minimal working example:

// Single document with embedded arrays
db.createCollection("users");

db.users.insertOne({
  _id: ObjectId("..."),
  email: "john@example.com",
  name: "John Doe",
  createdAt: new Date(),

  // Embedded address
  address: {
    street: "123 Main St",
    city: "New York",
    state: "NY",
    zipCode: "10001",
  },

  // Embedded array of items
  orders: [
    {
      orderId: ObjectId("..."),
      date: new Date(),
      total: 149.99,
    },
    {
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide	Contents
Document Structure Design	Document Structure Design
Indexing in MongoDB	Indexing in MongoDB
Schema Validation	Schema Validation
Table Structure	Table Structure
Global Secondary Indexes (GSI)	Global Secondary Indexes (GSI)
DynamoDB Item Operations	DynamoDB Item Operations

Best Practices

✅ DO

Follow established patterns and conventions
Write clean, maintainable code
Add appropriate documentation
Test thoroughly before deploying

❌ DON'T

Skip testing or validation
Ignore error handling
Hard-code configuration values

nosql-database-design

NoSQL Database Design

Table of Contents

Overview

When to Use