Data Architecture: From Zen to Reality
by Charles Tupper
Data Architecture: From Zen to Reality
Find proven methods and technologies to solve the complex issues of dealing with data
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
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Data Architecture: From Zen to Reality
Find proven methods and technologies to solve the complex issues of dealing with data
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
- 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 is an expensive and expansive asset. Information capture has forced storage capacity from megabytes to terabytes, exabytes and, pretty soon, zetabytes of data. So the need for accessible storage space for this data is great. To make this huge amount of data usable and relevant, it needs to be organized effectively. Database Base Management Systems, such as Oracle, IBM’s DB2, and Microsoft SqlServer are used often, but these are being enhanced continuously and auxiliary tools are being developed every week; there needs to be a fundamental starting point for it all. That stating point is Data Architecture, the blueprint for organizing and structuring of information for services, service providers, and the consumers of that data.
Data Architecture: From Zen to Reality explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing their data. It also discusses proven methods and technologies to solve the complex issues dealing with data. The book uses a holistic approach to the field of data architecture by covering the various applied areas of data, including data modelling and data model management, data quality , data governance, enterprise information management, database design, data warehousing, and warehouse design. This book is a core resource for anyone emplacing, customizing or aligning data management systems, taking the Zen-like idea of data architecture to an attainable reality.
Charles D Tupper is the Assistant Director of Data Architecture at Boehringer-Ingelheim Pharmaceuticals. His previous experience has been in Telecommunications, Finance , Insurance, Manufacturing and Transportation. He has also worked as a consultant specializing in: Data Architectures, Data Modeling, Physical Model Translation, CASE design tools, CASE Model Management and Warehouse Modeling and Design. He has also provided project management, consulting, knowledge transfer, retooling consultation, Business Intelligence architecture, mentoring and training in current CASE design methods, and has published several articles in Data Base Programming and Design.
Product Details
- ISBN-13:
- 9780123851260
- Publisher:
- Elsevier Science
- Publication date:
- 04/06/2011
- Edition description:
- New Edition
- Pages:
- 448
- Sales rank:
- 1,349,687
- Product dimensions:
- 7.40(w) x 9.10(h) x 1.10(d)
Table of Contents
Preface
Foreword
Section One: The Principles
1: Understanding Architectural Principles
2: Enterprise Architecture Frameworks and Methodologies
3. Enterprise Level Data Architecture Practices
4: Understanding Development Methodologies
Section Two: The Problem
5: Business Evolution
6 Business Organizations
7. Productivity inside the Data Organization
8. Solutions That Cause Problems
Section Three: The Process
9. Data Organization Practices
10. Models and Model Repositories
11. Model Constructs and Model Types
12. Time as a Dimension of the Database
13. Concepts of Clustering, Indexing and Structures
Section Four: The Product
14. Basic Requirements for Physical Design
15. Physical Database Considerations
16. Interpretation of Models
Section Five: Specialized Databases
17. Data Warehouses I
18. Data Warehouses II
19. Dimensional Warehouses from Enterprise Models
20. The Enterprise Data Warehouse
21. Object and Object/Relational Databases:
22. Distributed Databases
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