In this course, you will learn to:

• Build modern applications for the cloud using AWS purpose-built NoSQL databases
• Illustrate solutions using AWS purpose-built databases for handling key-value, document, and in-memory data categories
• Analyze business use cases and apply advanced features of Amazon DynamoDB to implement a scalable solution
• Analyze business use cases and apply advanced features of Amazon ElastiCache to implement a scalable solution
• Analyze business use cases and apply advanced features of Amazon DocumentDB to implement a scalable solution
• Implement event-driven architectures using change streams and AWS Lambda
• Learn how to build solutions faster with Amazon CodeWhisperer

Module 1: Analyze Use Cases for NoSQL Databases

• Business overview
• Workload solution overview
• AWS NoSQL database portfolio
• Design decisions for a modern application

Module 2: Advanced Amazon DynamoDB Concepts

• Review business workloads for Amazon DynamoDB
• Analyze access patterns and key design
• Create the data model
• Design for performance
• Design event-driven architectures using DynamoDB Streams
• Guided Tour: Design tables using NoSQL Workbench for DynamoDB
• Guided Tour: Use DynamoDB Streams with AWS Lambda
• Hands-on Lab: Implement Fleet and Trip Data Management using Amazon DynamoDB Tables, Indexes, and Change Streams

Module 3: Advanced Amazon DocumentDB Concepts

• Review business workloads for Amazon DocumentDB
• Analyze access patterns
• Create the data model
• Design for performance
• Use Amazon DocumentDB aggregation framework
• Design event-driven architecture using Amazon DocumentDB
• Guided Tour: Document and collection design
• Guided Tour: Aggregation framework
• Guided Tour: Use Amazon DocumentDB Change streams with AWS Lambda
• Hands-on Lab: Implement and Optimize User Profile Data Management Workload on Amazon DocumentDB

Module 4: Advanced Amazon ElastiCache for Redis Concepts

• Review business workloads for Amazon ElastiCache for Redis
• Analyze access patterns
• Create the data model
• Use optimal data structures for the workload
• Guided Tour: Use Amazon ElastiCache for Redis to apply geospatial queries
• Guided Tour: Use Amazon ElastiCache for Redis to natively store and access JSON data
• Guided Tour: Use Amazon ElastiCache for Redis with leaderboards
• Hands-on Lab: Implement Geospatial Bike Searches, User Profile Caching, and Leaderboards with Amazon ElastiCache for Redis

Module 5: Course Summary

• Course review
• AWS Certification levels
• Continue your learning

This course is intended for:

• Database developers
• Solutions architects
• Database engineers

We recommend that attendees of this course have:

• Familiarity with cloud computing concepts
• Familiarity with data modeling for relational or NoSQL databases
• Working experience with Amazon DynamoDB table design
• Working experience with Amazon DocumentDB table design
• Working experience with ElastiCache for Redis
• Familiarity with AWS Lambda and Amazon API Gateway database services
• Familiarity with Python scripting