The Data Semantics Management book is divided into two volumes. Volume 2, this volume, addresses Deployment. Volume 1 addresses Rationale, Requirements, and Architecture. The approach embraced by these two volumes is founded on the idea of top-down and centralized architecture, engineering, policies, and procedures, but bottom-up, distributed accomplishment. If attempted only top-down, the outcomes will mirror familiar centralized czar-like failures of the past. If accomplished only bottom-up, the outcomes will be the vast forests of semantic stove pipes. Volume 2 presents these key topics: Data element architecture and engineering via the ISO Standard 11179; development of data models of concepts to be used as templates for manufacturing database data models; the development of "logical" data models from concept data model templates; the development of "physical" data models from one or more "logical" data models; the engineering of view data models including generation of XML schemas and Service Oriented Architecture (SOA); Database object class models that includes data structure, process, and state; work plans for accomplishing data semantics management within a project, organization, function, and enterprise; and an overall two-volume summary including a chapter by chapter explanation of how the two interoperability and shared data error classes have been eliminated or severely reduced. Each chapter concludes with an extensive set of questions and exercises.