Principles of Data Management
BCS, The Chartered Institute for IT (Verlag)
978-1-78017-591-1 (ISBN)
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
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.
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
Erscheinungsdatum | 11.04.2022 |
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Verlagsort | Swindon |
Sprache | englisch |
Maße | 170 x 244 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Algorithmen | |
ISBN-10 | 1-78017-591-4 / 1780175914 |
ISBN-13 | 978-1-78017-591-1 / 9781780175911 |
Zustand | Neuware |
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