Principles of Data Management
Facilitating Information Sharing
Keith Gordon (author)UK Price: £31.99 EU Price: €40.99 ROW (USD) Price: $50.99 ISBN: 9781902505848
Format: Paperback
Dimensions: 172 x 246 x 15
Number of pages: 226
Publication date: 01 AUG 2007
About the book:
Data is a valuable corporate asset. Its effective management is vital to an organization's success, but it's an area to which scant attention is often paid, to the detriment on the business. This professional reference guide covers all the key areas including database development, data quality and corporate data modelling. It is not based on a particular proprietary system; it is business focused, providing the knowledge and techniques required to successfully implement the data management function. The book is aimed at all those involved with data management, including IT/IS and business managers, consultants, and business analysts, as well as data management practitioners from all business sectors.
On the whole an interesting and thought-provoking book. - Ariadne, Online Magazine
About the Author(s):
Keith Gordon is an independent consultant and lecturer specializing in data management and business analysis. A professional soldier for 38 years he has held technical, educational and managerial appointments including serving as head of the army's data management team.
Review(s):
'[...] an interesting and thought-provoking book.'
Pete Cliff, Research Officer, Repositories Support Project UKOLN, Ariadne, Online Magazine
'In this book, Keith Gordon has done an excellent job of laying out the full set of dimensions to be addressed for the effective management of an organization's information. [... ] I strongly recommend this book to someone wanting to understand the connection between the management of information and the kinds of technology that must be employed to do so.'
David C. Hay, The Data Administration Newsletter
Table of Contents:
1. Data and the enterprise
2. Database development
3. What is Data Management
4. Corporate Data Modelling
5. Data definition and naming conventions
7. Metadata
8. Data quality
9. Data accessibility
10. Database administration
11. The management of data management
12. Industry trends and their effects on data management
APPENDICES
A. Comparison of Data Modelling Notations
B. Hierarchial and Networks Databases
C. Generic Data Models
D. An Example of a Data Naming Convention
E. Metadata Models
F. A Data Mining Example
G. HTML and XML
H. XML and Relationship Databases
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