Build Modern Applications with AWS NoSQL Databases - 1 Day- ILT

Unlock the power of AWS’s purpose-built NoSQL databases to design and implement modern, cloud-native applications that scale effortlessly. In this course, you’ll dive into Amazon DynamoDB, ElastiCache, and DocumentDB to master key-value, document, and in-memory data models, and learn to build event-driven architectures with AWS Lambda.

Leverage advanced features to create high-performance, scalable solutions tailored to real-world business use cases. Plus, speed up development with Amazon CodeWhisperer — empowering you to build smarter, faster.

👉 Master NoSQL for the cloud and build the next generation of applications. Enroll today!

This course includes presentations, guided tours, group discussions, and hands-on labs.

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

Intended audience

This course is intended for:

• Database developers

• Solutions architects

• Database engineers

Prerequisites

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

Course outline

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