This document discusses using Kubernetes as a data platform. It describes using use case driven development to build the initial platform, focusing on simple use cases that provide value. It also covers onboarding new data sources, an overview of the data platform architecture including data lakes and batch/online services, deployment approaches both on-premise and cloud native, and addressing challenges like GDPR compliance and autoscaling. Lessons learned include selecting cloud infrastructure based on data locations and using Kubernetes for its support and to avoid maintaining separate clusters.