Live-Online: Build Modern Applications with AWS NoSQL Databases

An AWS expert will help you understand how to build applications with complex data characteristics and millisecond-level performance requirements for your databases. You will learn how to use purpose-built databases to create typical modern applications with different access patterns and real-time scaling requirements. Through a series of presentations, guided tours, group discussions, and hands-on exercises, you will get to know the advanced features of Amazon DynamoDB, Amazon DocumentDB (with MongoDB compatibility), and Amazon ElastiCache for Redis.
 

1. Analyzing Use Cases for NoSQL Databases

• Business overview
• Overview of workload solutions
• AWS NoSQL database portfolio
• Design decisions for a modern application

2. Advanced Amazon DynamoDB Concepts

• Reviewing business workloads for Amazon DynamoDB
• Analyzing access patterns and key design
• Creating the data model
• Designing for performance
• Designing event-driven architectures with DynamoDB Streams
• Guided tour: Designing tables with NoSQL Workbench for DynamoDB
• Guided tour: Using DynamoDB Streams with AWS Lambda
• Hands-on lab: Implementing fleet and travel data management with Amazon DynamoDB
• Tables, indexes, and change streams

3. Advanced Amazon DocumentDB Concepts

• Reviewing business workloads for Amazon DocumentDB
• Analyzing access patterns
• Creating the data model
• Designing for performance
• Using the Amazon DocumentDB Aggregation Framework
• Designing an event-driven architecture with Amazon DocumentDB
• Guided tour: Designing documents and collections
• Guided tour: Aggregation Framework
• Guided tour: Using Amazon DocumentDB Change Streams with AWS Lambda
• Hands-on lab: Implementing and optimizing user profile data management workloads on Amazon DocumentDB

4. Advanced Amazon ElastiCache for Redis Concepts

• Reviewing business workloads for Amazon ElastiCache for Redis
• Analyzing access patterns
• Creating the data model
• Using optimal data structures for the workload
• Guided tour: Using Amazon ElastiCache for Redis for geospatial queries
• Guided tour: Using Amazon ElastiCache for Redis to natively store and access JSON data
• Guided tour: Using Amazon ElastiCache for Redis with leaderboards
• Hands-on lab: Implementing geographic bike searches, user profile caching, and leaderboards with Amazon ElastiCache for Redis

• Creating modern applications for the cloud with NoSQL databases specifically designed for AWS
• Illustrating solutions with purpose-built databases for processing key-value, document, and in-memory data categories
• Analyzing business use cases and applying advanced features of Amazon DynamoDB to implement a scalable solution
• Implementing event-driven architectures with change streams and AWS Lambda
• Building solutions faster with Amazon CodeWhisperer

This course is for:

• Database Developers
• Solution Architects
• Database Engineers

We recommend familiarity with:

• Cloud computing concepts
• Data modeling for relational or NoSQL databases
• AWS Lambda and Amazon API Gateway database services
• Python scripting

We recommend work experience with:

• Amazon DynamoDB table design
• Amazon DocumentDB table design
• ElastiCache for Redis