Principles of Data Management, 2nd Edition

Data is 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 of data management including database development, data quality and corporate data modelling. It is not based on a particular proprietary system; rather 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. This new edition covers web technology and its relation to databases and includes material on the management of master data. ‘A vital book for all IS professionals (from business analysts to web developers) who need to understand the effective management of that critical resource, information.’ Tony Jenkins, BSc, MSc, PGCE, CITP, CEng, Past Chair, BCS Data Management Specialist Group — ‘I’ve used and recommended the first edition of Keith’s comprehensive text for several years. I’ve found that both practitioners and students are able to easily make use of these important concepts. I’m very pleased with the expanded and updated treatments in the second edition.’ Peter Aiken PhD, Founding Director, Data Blueprint/VCU — ‘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.’ David Hay, President, Essential Strategies, Inc.

Table of Contents

PART 1 PRELIMINARIES
Chapter 1 Data And The Enterprise
Chapter 2 Database Development
Chapter 3 What Is Data Management?

PART 2 DATA ADMINISTRATION
Chapter 4 Corporate Data Modelling
Chapter 5 Data Definition And Naming
Chapter 6 Metadata
Chapter 7 Data Quality
Chapter 8 Data Accessibility
Chapter 9 Master Data Management

PART 3 DATABASE AND REPOSITORY ADMINISTRATION
Chapter 10 Database Administration
Chapter 11 Repository Administration

PART 4 THE DATA MANAGEMENT ENVIRONMENT
Chapter 12 The Use Of Packaged Application Software
Chapter 13 Distributed Data And Databases
Chapter 14 Business Intelligence
Chapter 15 Object Orientation
Chapter 16 Multimedia
Chapter 17 Web Technology

APPENDIX A COMPARISON OF DATA MODELLING NOTATIONS
APPENDIX B HIERARCHICAL AND NETWORK DATABASES
APPENDIX C GENERIC DATA MODELS
APPENDIX D AN EXAMPLE OF A DATA NAMING CONVENTION
APPENDIX E METADATA MODELS
APPENDIX F A DATA MINING EXAMPLE
APPENDIX G HTML AND XML
APPENDIX H XML AND RELATIONAL DATABASES
APPENDIX I TECHNIQUES AND SKILLS FOR DATA MANAGEMENT
APPENDIX J INTERNATIONAL STANDARDS FOR DATA MANAGEMENT
APPENDIX K BIBLIOGRAPHY