Principles of Data Management
eBook - ePub

Principles of Data Management

Facilitating information sharing

  1. 280 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Principles of Data Management

Facilitating information sharing

About this book

Data is a valuable corporate asset and its effective management is vital to an organisation's success and survival. With this book you will learn to master the key principles of data management and use them to implement best practices in your organization.

This professional guide covers all the key areas of data management, including database development and corporate data modelling. It is business-focused, providing the knowledge and techniques required to successfully implement the data management function.

This fully updated new edition provides new chapters on the most important data topics such as big data, artificial intelligence, linked data and concept systems. Principles of Data Management is fully aligned with syllabus for the BCS Professional Certificate in Data Management Essentials, making this the go-to text to unlocking the value of your data.

  • Ideal for business managers and all involved in the development of information systems as well as data management professionals
  • Comprehensive and descriptive view of data management
  • Suitable for all levels, from beginners to advanced learners
  • Must-read for anyone involved in the development of systems to manage data

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Yes, you can access Principles of Data Management by Keith Gordon in PDF and/or ePUB format, as well as other popular books in Computer Science & Information Management. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Half-Title Page
  3. BCS, The Chartered Institute for It
  4. Title Page
  5. Copyright Page
  6. Contents
  7. List of figures
  8. About the author
  9. Foreword to the first edition
  10. Abbreviations
  11. Glossary
  12. Preface
  13. Introduction
  14. PART 1: PRELIMINARIES
  15. PART 2: DATA ADMINISTRATION
  16. PART 3: DATABASE AND REPOSITORY ADMINISTRATION
  17. PART 4: THE DATA MANAGEMENT ENVIRONMENT
  18. APPENDICES