Welcome to the Amazon DynamoDB Data Modeling course.In this course, you will learn: NoSQL concepts and DynamoDB’s features How to optimize DynamoDB for: Runtime performance Cost DynamoDB data modeling patterns 1:N, N:M, hierarchical, GSI overloading, and more Write sharding, sparse indexes, and materialized aggregations Strategies to migrate data from RDBMS to DynamoDB You’ll further solidify your learning with real-world examples and hands-on labs.By the end of this course, you’ll have the necessary skills and knowledge to effectively build scalable, cost-efficient, high-performance applications using DynamoDB.Thank you for taking the course — let’s get started!
Overview
Syllabus
- Introduction
- Understanding DynamoDB Data Structures
- Partition Keys
- Common Patterns
- Qualifying Your Workload’s Requirements
- Interpreting Access Patterns
- Scenario 1 - User Profile Microservice
- Scenario 2 - Relational to DynamoDB Migration
- What's Next?
Taught by
Mark Richman
