Lee Kear

This expert-level workshop demonstrates how to use S3 Tables to build sophisticated batch processing pipelines for transactional datalakes built on Apache Iceberg. Learn advanced techniques for processing and storing data in Amazon S3 Tables while leveraging AWS analytics services.

Amazon S3 Multi-Region Access Points provide a single global endpoint to access datasets that span multiple S3 buckets in different AWS Regions. This allows you to build multi-Region applications with the same simple architecture used in a single Region and then run those applications anywhere in the world.

Amazon S3 Multi-Region Access Points provide a single global endpoint to access datasets that span multiple Amazon S3 buckets in different AWS Regions. This allows you to build multi-Region applications with the same simple architecture used in a single Region and to then run those applications anywhere in the world.

As your dataset grows on Amazon S3, it becomes increasingly valuable to use tools and automation to manage and analyze your data and optimize storage costs. In this builders’ session, learn about Amazon S3 Storage Lens which delivers a single view of object storage usage and activity across your entire Amazon S3 storage.

Amazon S3 Object Lambda works with your existing applications and allows you to add your own code using AWS Lambda functions to automatically process and transform data from Amazon S3 before returning it to an application. This allows different views of the same object depending on user identity, so you can restrict access to confidential information or disallow access to PII data.

Amazon S3 Storage Lens provides new capabilities to gain insights into your Amazon S3 data. This chalk talk shows you these insights and explains what to do with them.

There are many options for moving data between Amazon S3 buckets at scale. In this chalk talk, learn when to and how to use S3 Replication, S3 Batch Operations, and AWS DataSync.

Amazon S3 Object Lambda works with your existing applications and allows you to add your own code so you can use AWS Lambda functions to automatically process and transform S3 data before returning it to an application. This enables different views of the same object depending on user identity—for example, restrict access to confidential information or disallow access to PII data.

As your dataset grows on Amazon S3 to millions of objects and petabytes of data or more, it becomes increasingly valuable to use tools and automation to handle that scale. Amazon S3 offers flexible management capabilities to classify, report, and visualize your data usage trends so that you can make informed decisions to optimize performance and cost.