Book description
Organisations increasingly view data as a valuable corporate asset and its effective management can be vital to success. This professional guide covers all the key areas including database development, data quality and corporate data modelling. It provides the knowledge and techniques required to successfully implement the data management function.
Table of contents
- Copyright
- Dedication
- 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 Convention
- Introduction
- Concepts used in naming
- The naming of entity types in a conceptual data model
- The naming of domains in a conceptual data model
- The naming of attributes in a conceptual data model
- The naming of relationships in a conceptual data model
- The naming of tables in an SQL logical schema
- The naming of columns in an SQL logical schema
- Rules for abbreviations in data names
- Restricted terms
- The naming of attributes: a formal description
- Appendix E Metadata Models
- Appendix F A Data Mining Example
- Appendix G HTML and XML
- Appendix H XML and Relational Databases
- REFERENCES
- FURTHER READING
- Index
Product information
- Title: Principles of Data Management
- Author(s):
- Release date: August 2007
- Publisher(s): British Informatics Society Limited
- ISBN: 9781902505848
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