AWS Virtual Workshop - Amazon DynamoDB Data Modeling Deep Dive

Amazon DynamoDB is a key-value and document database service that delivers single-digit-millisecond performance at any scale. It's a fully managed, multi-region, multi-master, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second.

Join us for this series to dive deeper into DynamoDB data modeling. You will learn how to reduce design requirements to fundamental building blocks, and you will better understand the decisions and tradeoffs made when building efficient data models. You'll also learn how the new NoSQL Workbench for DynamoDB facilitates an iterative design process.

Advanced Design Patterns for DynamoDB

 June 3, 1:00–2:30 PM PT | 4:00–5:30 PM ET

Data modeling for DynamoDB is very different from data modeling for databases you may have worked with in the past. The ideal design of a DynamoDB database stores answers for all of your application's questions in advance. Veteran reviewers of real-world DynamoDB implementations will show you a design approach to quickly converge to the right model for your use case. Mechanisms will be presented to help optimize latency, scalability, and efficiency. You'll work through exercises to see how choices made in modeling your data can affect the application.

What you learn in Episode 1:

• Reduce design requirements to a clear understanding of your related data: items, item collections, and access patterns
• Develop an indexing strategy to efficiently cover those requirements at scale
• Apply the DynamoDB APIs in example code to see how data model choices affect operations

Who should attend: Developers, Engineers, and Database Administrators who are involved in designing and maintaining DynamoDB applications.

Prerequisites: Your own nonproduction AWS account with administrator access.