Sean Shriver

In this builders’ session, learn how to turn a new business idea into a fully functional data model in Amazon DynamoDB. Discover how to translate business requirements into access patterns and access patterns into a fully optimized schema design.

Developers love building on powerful, serverless Amazon DynamoDB, and as their production tables grow in size and traffic, they want to discover what mechanisms and optimizations can be applied to reduce costs. Cost optimization can be done both in the design phase and during operations.

Join this session to learn the core concepts of Amazon DynamoDB data modeling. Explore best practices for common access patterns used by DynamoDB customers for applications that need consistent, fast performance at any scale.

Multi-tenant architectures provide agility and operational cost savings by sharing data storage resources for all tenants. In such an environment, isolating tenant data is a fundamental responsibility for SaaS providers.

Developers love building on powerful, serverless Amazon DynamoDB and as their production tables grow in size and traffic, they want to discover what mechanisms and optimizations can be applied to reduce costs. Cost optimization can be done both in the design phase and during operations.

Many manufacturing, retail, gaming, and financial services organizations need critical real-time data aggregation. In this workshop, learn about an architectural pattern for a serverless data-aggregation pipeline on the AWS Cloud with fully managed services, including Amazon DynamoDB, AWS Lambda, and Amazon Kinesis.

Build (or test!) your DynamoDB chops in this chalk talk where we work together to design data models and solutions for real-world use cases using DynamoDB. Share your experiences and best practices, and ask questions of DynamoDB experts.

Join us for a practical hands-on workshop on using Amazon DynamoDB. This session is designed for developers, engineers, and database administrators who are involved in designing and maintaining DynamoDB applications.