Data Architecture: From Zen to Reality provides an introduction to the basic principles of data architecture, focusing on the development and implementation of enterprise-level information architecture. The book is organized into five sections. Section 1 discusses the data architecture and data design principles needed to reintroduce architecture into the business and software development process. Section 2 deals with the business and organizational issues of modern businesses and how structured and architected approaches may help them remain flexible and responsive. Section 3 focuses on the software-application development process, defining tools, techniques, and methods that ensure repeatable results. Section 4 discusses the artifact results of the process and the ways to make output products more efficient in real-world environments. Section 5 covers specialty databases and the various issues that arise in the business data processing environment, including data warehousing, objects and objects relational databases, and distributed databases. This book was written for people in business management involved with corporate data issues and information technology decisions. It is also a reference tool for those in a higher-level education process involved in data or information technology management.
- Presents fundamental concepts of enterprise architecture with definitions and real-world applications and scenarios
- Teaches data managers and planners about the challenges of building a data architecture roadmap, structuring the right team, and building a long term set of solutions
- Includes the detail needed to illustrate how the fundamental principles are used in current business practice
Data architects; systems analysts, data modelers, IT Directors, managers and CxOs, IT governance employees, business process management strategists; IT consultants, IT auditors, data administrators
Preface Section 1 The Principles Chapter 1 Understanding Architectural Principles Defining Architecture Design Problems Patterns and Pattern Usage Concepts for Pattern Usage Information Architecture Structure Works! Problems in Architecture Architectural Solutions The “Form Follows Function” Concept Guideline: Composition and Environment Guideline: Evolution Guideline: Current and Future Data Policies (Governance), the Foundation Building Codes Data Policy Principles Chapter 2 Enterprise Architecture Frameworks and Methodologies Architecture Frameworks Brief History of Enterprise Architecture The Zachman Framework for Enterprise Architecture The Open Group Architecture Framework The Federal Enterprise Architecture Conclusions Enterprise Data Architectures Enterprise Models The Enterprise Data Model The Importance of the Enterprise Data Model Object Concepts: Types and Structures Within Databases Inheritance Object Life Cycles Relationships and Collections Object Frameworks Object Framework Programming Pattern-Based Frameworks Architecture Patterns in Use U.S. Treasury Architecture Development Guidance TADG Pattern Content TADG Architecture Patterns IBM Patterns for e-Business Enterprise Data Model Implementation Methods Chapter 3 Enterprise-Level Data Architecture Practices Enterprise-Level Architectures System Architectures Enterprise Data Architectures Enterprise Technology Architectures Enterprise Architecture Terminology—Business Terms The Enterprise Model The Enterpri
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- © Morgan Kaufmann 2011
- 17th March 2011
- Morgan Kaufmann
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I am extremely thrilled that Mr. Tupper has decided to write this book. This book would fill a void in knowledge and know-how in the area of data administration and architecture. Mr. Tupper built over the years an impressive expertise and authority on the subject of enterprise data architecture.
Daniel Fitzpatrick, Principal Consultant, Nakama Consulting Group
I see a wealth of information ranging from technical reference information to higher level concepts and principles. Overall a very comprehensive guide where some sections can be read in a flowing manner to enhance understanding of the topic and other sections can be flipped to/from to provide greater detail and context.
Lynn Rivera, Consultant, LMR Consulting