Principles of data management : facilitating information sharing / Keith Gordon.

Includes bibliographical references and index.

Copyright; Contents; Figures and tables; About the author; Foreword; Glossary; Preface; Introduction; 1 Data and the Enterprise; 2 Database Development; 3 What is Data Management?; 4 Corporate Data Modelling; 5 Data Definition and Naming Conventions; 6 Metadata; 7 Data Quality; 8 Data Accessibility; 9 Database Administration; 10 Repository Administration; 11 The Management of Data Management; 12 Industry Trends and their Effects on Data Management; 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 ConventionAppendix E Metadata Models; Appendix F A Data Mining Example; Appendix G HTML and XML; Appendix H XML and Relational Databases; References; Further reading; Index; Back Cover

This professional reference guide explains not only the importance of data management and how it can be managed, but the issues facing those involved, and how to address them. Distinctively, this book is not based on a particular propriety system or software, but is business focused, providing the knowledge and techniques required to successfully implement a data management function. 'Principles of Data Management: Facilitating Information Sharing' covers practical and effective approaches to managing corporate data which will improve communication between users and information systems developers, and support an integrated and cost effective approach to data and information resource development. This book explains how to plan and implement a data management function and critically, how to understand and improve the relationships between data and database administrators, systems development teams and business users. Ultimately users become able to obtain the information they need, confident that it is based on correct underlying data. 'Principles of Data Management: Facilitating Information Sharing' also discusses the technical issues that affect data management professionals.