Jason Hunter

Amazon DynamoDB is a popular choice for modern applications because it’s a serverless database that provides single-digit millisecond performance at any scale. Optimizing your usage of DynamoDB requires a different approach to data modeling than traditional relational databases.

In this session, dive deep into how Amazon DynamoDB works at scale by collaboratively solving a few design puzzles that may seem simple but are actually complex. Learn how to look beyond the obvious solution to find a more effective and scalable one with an understanding of how DynamoDB operates.

In this session, learn patterns for executing fast, safe, cost-aware bulk operations in Amazon DynamoDB using AWS Glue, Spark SQL, and open source tooling that hides the complexity. Discover how to find, filter, diff, load, and update billions of items in parallel.

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.

In this chalk talk, dive deep into how Amazon DynamoDB works at scale by collaboratively solving a few design puzzles that may seem simple but are actually complex. Learn how you can look beyond the obvious solution to find a more effective and scalable one with an understanding of how DynamoDB operates.

In this session, we’ll walk through patterns for executing fast, safe, cost-aware bulk operations in Amazon DynamoDB using AWS Glue, Spark SQL, and open source tooling that hides the complexity. We’ll demonstrate how to find, filter, diff, load, and update billions of items in parallel.

In this workshop, learn how to set up Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service to add generative AI experiences to your DynamoDB-based applications.

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.

In this chalk talk, dive deep into how Amazon DynamoDB works at scale by collaboratively solving a few design puzzles that may seem simple but are actually complex. Learn how you can look beyond the obvious solution to find a more effective and scalable one with an understanding of how DynamoDB operates.

In this workshop, learn how to set up Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service to add generative AI experiences to your DynamoDB-based applications.

Making the most of your data often means using multiple AWS services, such as Amazon OpenSearch Service for full-text, geospatial, or vector search. Amazon DynamoDB offers many different ways to build integrations, including export functionality and DynamoDB Streams.

In this builders’ session, learn how to build and deploy a globally distributed application where end users interact with data located closest to them. Amazon DynamoDB global tables replicate any changes made in one of the AWS Regions to the other participating AWS Regions.

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.

In this chalk talk, dive deep into how Amazon DynamoDB works at scale by collaboratively solving a few design puzzles that may seem simple but are actually complex. By understanding how DynamoDB operates, learn how you can look beyond the obvious solution to find a more effective and scalable one.

In this chalk talk, dive deep into how Amazon DynamoDB works at scale by collaboratively solving a few seemingly simple but actually complex design puzzles. By understanding how DynamoDB operates, learn how you can look beyond the obvious solution to find a more effective and scalable one.

In this chalk talk, learn the process and considerations that go into migration from a relational database to Amazon DynamoDB. Dive deep into effectively scoping the project, understanding the differences, and iteratively identifying the use cases and workflows that would benefit the most from DynamoDB features like global tables, global secondary indexes, and Amazon DynamoDB Streams.