Ripple - Well-Architected Data and AI Platforms - AWS and Databricks in Harmony
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Overview
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Explore the well-architected framework for modern data lakehouse architecture in this 34-minute conference talk that demonstrates how AWS's comprehensive data, AI, and infrastructure capabilities align with Databricks' unified platform approach. Learn how to build robust, scalable platforms based on core principles of Operational Excellence, Security, Reliability, Performance, and Cost Optimization, enhanced by Data and AI Governance alongside Interoperability and Usability. Discover how Ripple successfully modernized its data infrastructure by migrating from a legacy Hadoop system to a scalable, real-time analytics platform using Databricks on AWS, overcoming challenges of high operational costs, latency, and peak-time bottlenecks to achieve 80% cost savings and 55% performance improvements through Photon, Graviton, Delta Lake, and Structured Streaming technologies.
Syllabus
Sponsored by: AWS | Ripple: Well-Architected Data & AI Platforms - AWS and Databricks in Harmony
Taught by
Databricks