📊 DynamoDB NoSQL

Introduction

Amazon DynamoDB is a serverless, fully managed NoSQL database for any scale of data.

Key Learning Outcomes

By the end of this lesson, you'll understand:

• Creating DynamoDB tables

• CRUD operations

• Querying and scanning

• Indexes and partitioning

• Billing and cost

• Global tables

Creating a Table

# Create table
aws dynamodb create-table \
  --table-name Users \
  --attribute-definitions AttributeName=userId,AttributeType=S \
  --key-schema AttributeName=userId,KeyType=HASH \
  --billing-mode PAY_PER_REQUEST

CRUD Operations

JavaScript:

const AWS = require('aws-sdk');
const dynamodb = new AWS.DynamoDB.DocumentClient();

// Create
await dynamodb.put({
  TableName: 'Users',
  Item: {
    userId: 'user123',
    name: 'Alice',
    email: 'alice@example.com'
  }
}).promise();

// Read
const result = await dynamodb.get({
  TableName: 'Users',
  Key: { userId: 'user123' }
}).promise();

// Update
await dynamodb.update({
  TableName: 'Users',
  Key: { userId: 'user123' },
  UpdateExpression: 'SET email = :email',
  ExpressionAttributeValues: { ':email': 'newemail@example.com' }
}).promise();

// Delete
await dynamodb.delete({
  TableName: 'Users',
  Key: { userId: 'user123' }
}).promise();

Querying

// Query by partition key
const result = await dynamodb.query({
  TableName: 'Users',
  KeyConditionExpression: 'userId = :id',
  ExpressionAttributeValues: { ':id': 'user123' }
}).promise();

Key Takeaways

• **Serverless** - no capacity planning

• **Fully managed** - automatic scaling

• **Pay per request** or provisioned capacity

• **Global tables** for multi-region

• **Millisecond latency** at scale

Next Steps

Learn about ElastiCache for caching, or explore AWS Monitoring.