Sponsored by: AWS | Well-Architected Data & AI Platforms: AWS and Databricks in Harmony
Overview
| 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 |
(note - we're still targeting a customer for participation in this breakout session. We will keep the team informed on our progress) - 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. This session reveals how seven essential pillars create an architectural vision that scales with your enterprise needs. 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 this comprehensive framework helps enterprises deliver secure, efficient data services while accelerating AI/ML initiatives across multi-cloud environments.