Rudy Chetty

Join us as we explore the well-architected framework for modern data lakehouse architecture, where AWS's comprehensive data, AI, and infrastructure capabilities align with Databricks' unified platform approach. Building upon core principles of Operational Excellence, Security, Reliability, Performance, and Cost Optimization, we'll demonstrate how Data and AI Governance alongside Interoperability and Usability enable organizations to build robust, scalable platforms. Learn how Ripple modernized its data infrastructure by migrating from a legacy Hadoop system to a scalable, real-time analytics platform using Databricks on AWS. This session covers the challenges of high operational costs, latency, and peak-time bottlenecks—and how Ripple achieved 80% cost savings and 55% performance improvements with Photon, Graviton, Delta Lake, and Structured Streaming.

Amazon handles millions of products, and delivering those products at lightning speed is how we earn and maintain customer trust. Fulfilling our delivery promise requires a lot of coordination between systems involving software, machines, and people.

This presentation was recorded prior to re:Invent. Science, technology, engineering, and math (STEM) educational toys as a subscriptionóit started as a program managerís dream about selling to Amazon.com customers, and it took seven months and four engineers working in a serverless environment for this dream to come to fruition.

In this session, learn how Amazon Key for Business is enabling efficient deliveries of Amazon packages by using AWS IoT. Learn how the team created the hardware, got it up and running with Amazon FreeRTOS, connected it to the AWS IoT Core, and linked it to existing access systems so that no disruptions occurred.

Amazon ships millions of packages every day from Fulfillment Centers worldwide. As part of that process it’s imperative to print labels, packing slips, and other documents in a scalable and quick manner.