Synopses & Reviews
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.
- 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
Review
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
Synopsis
Data is an expensive and expansive asset. Information hunger has forced retention capacity from megabytes to terabytes of data. Millions of dollars are spent accumulating data, and millions more are paid to the professional staff that nurture and secure it. Additional millions are paid to the professionals that extract information out of theses billions of bytes of data. To ensure that it is usable, it must be structured in a flexible manner that is responsive to change, and is readily available for access.
This book explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing data, and it discusses proven methods and technologies to solve the complex issues dealing with data. The author takes a holistic approach to the field of data architecture various applied perspectives, including data modeling, data quality, enterprise information management, database design, data warehousing, and data governance.
Explains the fundamental concepts of enterprise architecture through definitions and real-world scenarios
Teaches data managers and planners how to build a data architecture roadmap, structure the right team, and build a set of solutions for the various challenges they will face
Offers concise case studies that highlight how fundamental principles are put into practice
Synopsis
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. Using a holistic approach to the field of data architecture, the book describes proven methods and technologies to solve the complex issues dealing with data. It covers 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 text is a core resource for anyone customizing or aligning data management systems, taking the Zen-like idea of data architecture to an attainable reality.
The book presents fundamental concepts of enterprise architecture with definitions and real-world applications and scenarios. It 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. It includes the detail needed to illustrate how the fundamental principles are used in current business practice. The book is divided into five sections, one of which addresses the software-application development process, defining tools, techniques, and methods that ensure repeatable results.
Data Architecture is intended for people in business management involved with corporate data issues and information technology decisions, ranging from data architects to IT consultants, IT auditors, and data administrators. It is also an ideal 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
Synopsis
Find proven methods and technologies to solve the complex issues dealing with data
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