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.
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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.
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Paperback. Condición: New. 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. Nº de ref. del artículo: LU-9781780175911
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Paperback. Condición: new. Paperback. Data is a valuable corporate asset and its effective management is vital to an organisations 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 Data is a valuable corporate asset and its effective management is vital to success. This professional guide covers all the key areas of data management, including database development and corporate data modelling. The new edition adds chapters on linked data, concept systems and big data and artificial intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781780175911
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