This document discusses building a production data infrastructure beyond a big data pilot project. It examines the data value chain from data acquisition to analytics. The key components discussed include data acquisition, ingestion, storage, data services, analytics, and data management. Various options for these components are explored, with considerations for batch, interactive and real-time workloads. The goal is to provide a framework for understanding the options and making choices to support different use cases at scale in a production environment.