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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 professionalsComprehensive and descriptive view of data managementSuitable for all levels, from beginners to advanced learnersMust-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: PreliminariesChapter 1 Data and the enterpriseChapter 2 Databases and their developmentChapter 3 What is data management?Part 2: Data AdministrationChapter 4 Corporate data modellingChapter 5 Data definition and namingChapter 6 MetadataChapter 7 Data qualityChapter 8 Data accessibilityChapter 9 Master data managementPart 3: Database and Repository AdministrationChapter 10 Database administrationChapter 11 Repository administrationPart 4: The Data Management EnvironmentChapter 12 The use of packaged application softwareChapter 13 Distributed data and databasesChapter 14 Business intelligenceChapter 15 Object orientationChapter 16 MultimediaChapter 17 Integrating data and web technologyChapter 18 Linked dataChapter 19 Concept systemsChapter 20 Big data and artificial intelligenceAppendicesAppendix A Comparison of data modelling notationsAppendix B Generic data modelsAppendix C HTML and XMLAppendix D Techniques and skills for data managementAppendix E Data strategyAppendix F International standards for data managementAppendix G The BCS Data Management Essentials syllabus
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.