
Principles of Data Management
Facilitating information sharing - Third edition
Keith Gordon(Author)
BCS, The Chartered Institute for IT (Publisher)
3rd Edition
Published on 26. July 2022
Book
Paperback/Softback
298 pages
978-1-78017-591-1 (ISBN)
Description
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
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
Reviews / Votes
This book is an excellent guide to understanding data management theory and techniques. It works at all levels: from beginner to advanced, and from reference source to the practicalities of implementation. I would highly recommend to anyone wanting to get to grips with data management, regardless of experience in the field. -- Ian Wallis, Managing Director, Data Strategists Ltd Keith has developed a broad and thorough understanding of all aspects of data management over many years, so is without doubt one of the authorities on data management. This updated book includes reference to a number of new techniques as well as refining existing guidance on data modelling and database structures. Keith clearly explains both the importance of planning and analysis of databases and repositories and an explanation of key techniques to achieve this. A 'must buy' for the bookshelf of any data management practitioner. -- Julian Schwarzenbach, Chair of the BCS Data Management Specialist Group This book provides a comprehensive and descriptive view of data management within a database setting. This is a must read for anyone involved in the development of systems to manage data. This book is as useful as it is interesting. It covers everything you need to know about getting the most out of your data management processes and architecture. -- Ian Rush, Data & Process Advantage LtdMore details
Edition
3rd New edition
Language
English
Place of publication
Swindon
United Kingdom
Publishing group
BCS Learning & Development Limited
Target group
Professional and scholarly
Edition type
New edition
Dimensions
Height: 170 mm
Width: 246 mm
Thickness: 21 mm
Weight
518 gr
ISBN-13
978-1-78017-591-1 (9781780175911)
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
Additional editions

E-Book
07/2022
3rd Edition
BCS, The Chartered Institute for IT
€40.49
Available for download
Previous edition

Book
11/2013
2nd Edition
BCS, The Chartered Institute for IT
€63.32
Article exhausted; check for reprint
Person
Keith Gordon has spent over 50 years in technical, education and training environments as an engineer, computer consultant, business analyst, education and training manager. He was an independent consultant and lecturer specialising in data management and business analysis and an associate lecturer with the Open University for 10 years.
Content
Part 1: Preliminaries
Chapter 1 Data and the enterprise
Chapter 2 Databases and their 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 Integrating data and web technology
Chapter 18 Linked data
Chapter 19 Concept systems
Chapter 20 Big data and artificial intelligence
Appendices
Appendix A Comparison of data modelling notations
Appendix B Generic data models
Appendix C HTML and XML
Appendix D Techniques and skills for data management
Appendix E Data strategy
Appendix F International standards for data management
Appendix G The BCS Data Management Essentials syllabus
Chapter 1 Data and the enterprise
Chapter 2 Databases and their 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 Integrating data and web technology
Chapter 18 Linked data
Chapter 19 Concept systems
Chapter 20 Big data and artificial intelligence
Appendices
Appendix A Comparison of data modelling notations
Appendix B Generic data models
Appendix C HTML and XML
Appendix D Techniques and skills for data management
Appendix E Data strategy
Appendix F International standards for data management
Appendix G The BCS Data Management Essentials syllabus