This session shows how to design a platform-agnostic operating model: data products with SLAs and schemas, “one copy” policies, and explicit handoffs between engineering, analytics, and ML. I will cover physical layout and query patterns that balance cost, latency, and freshness; when to materialize vs virtualize; and how to preserve lineage, security, and governance across tools.

Expect concrete decision trees and checklists that reduce duplication and platform churn—no matter which vendors you use.