Amazon SageMaker : Multi-Engine Analytics on a Governed Platform

Avichay Marciano & Vova Nevski · Sr. Analytics Specialist Solutions Architects, AWS

AWS Summit Tel Aviv 2026 · AWS For Data and Analytics · 40 min · 16 pages

This session deep-dives into Amazon SageMaker Unified Studio (SMUS) as a foundation for governed analytics and AI environments. We'll explore how SMUS unifies analytics, AI, and governance - covering SageMaker Catalog, multi-account architectures, access control, and collaborative workflows. We'll then shift to the engine layer: how teams choose, configure, and operate multiple processing frameworks within a single governed environment, and review the latest advancements in analytics engines and tooling. Attendees will leave understanding how to build end-to-end analytics environments that support diverse compute engines while maintaining strong security and operational boundaries.

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