Principles of Data Management
Facilitating Information Sharing
Published on 1. August 2007
Book
Paperback/Softback
226 pages
978-1-902505-84-8 (ISBN)
Description
Organisations increasingly view data as a valuable corporate asset and its effective management can be vital to an organisation's success. 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.
Reviews / Votes
[...] an interesting and thought-provoking book. -- Pete Cliff * 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 *More details
Language
English
Place of publication
Swindon
United Kingdom
Publishing group
BCS Learning & Development Limited
Target group
Professional and scholarly
Illustrations
124 Illustrations
Dimensions
Height: 246 mm
Width: 172 mm
Thickness: 15 mm
Weight
543 gr
ISBN-13
978-1-902505-84-8 (9781902505848)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
11/2013
2nd Edition
BCS, The Chartered Institute for IT
€63.32
Article exhausted; check for reprint
Person
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.
Content
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
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