This document summarizes a new edition of the book "Data Architecture: A Primer for the Data Scientist" which addresses how big data fits within existing data warehousing systems and information infrastructure. The book seeks to explain the larger context and framework into which big data fits in order to help data scientists understand how different components should work together. New to this edition are expanded case studies on textual management and analytics, new chapters on visualization and big data, and a discussion of new visualizations of the end-state architecture.