Sponsored by: AWS | Ripple: Well-Architected Data & AI Platforms - AWS and Databricks in Harmony

Overview
Wednesday
June 11
11:30 am
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Lakehouse Architecture and Implementation |
Industry | Enterprise Technology |
Technologies | Databricks SQL, Databricks Workflows, Databricks Apps |
Skill Level | Intermediate |
Duration | 40 min |
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.
Session Speakers
Rudy Chetty
/Principal Solutions Architect
AWS
Priyanka Adhia
/Engineering Manager
Ripple
Hari Rajendran
/Staff Software Engineer
Ripple