Ulteriori informazioni
Data is an expensive and expansive asset. Informatio hunger has forced retention capacity from megabytes to terabytes of data. Soon there will be Exabytes, and then Zetabytes. There is a constant search for space for the billions of bytes of data we need to perform our information processing. Millions of dollars are spent accumulating data, and millions more are paid to the professional staff that nurture, husband, and secure it. Additional millions are paid to the professionals that tease information out of theses billions of bytes of data. Billions of dollars are being spent for this asset; it would seem prudent to design the structures that hold it is such a manner as to be flexible and responsive to change as well as readily available for information 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. Zusammenfassung Data is an expensive and expansive asset. Information capture has forced storage capacity from megabytes to terabytes! exabytes and! pretty soon! zetabytes of data. This title explains the principles underlying data architecture! how data evolves with organizations! and the challenges organizations face in structuring and managing their data.
Sommario
Section One: The Principles1: Understanding Architectural Principles2: Enterprise Architecture Frameworks and Methodologies3. Enterprise Level Data Architecture Practices4: Understanding Development Methodologies
Section Two: The Problem5: Business Evolution6 Business Organizations7. Productivity inside the Data Organization8. Solutions That Cause Problems
Section Three: The Process9. Data Organization Practices10. Models and Model Repositories11. Model Constructs and Model Types12. Time as a Dimension of the Database13. Concepts of Clustering, Indexing and Structures
Section Four: The Product14. Basic Requirements for Physical Design15. Physical Database Considerations16. Interpretation of Models
Section Five: Specialized Databases17. Data Warehouses I18. Data Warehouses II19. Dimensional Warehouses from Enterprise Models20. The Enterprise Data Warehouse21. Object and Object/Relational Databases22. Distributed Databases
Relazione
"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
