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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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Add Data Architecture: From Zen to Reality, 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 , Data Architecture: From Zen to Reality to your collection on WonderClub |