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Название: Data in Context: Models as Enablers for Managing and Using Data
Автор: Bas van Gils
Издательство: Springer
Год: 2023
Страниц: 220
Язык: английский
Формат: pdf (true)
Размер: 10.0 MB
This book is about data fundamentals. The author describes in an accessible manner the fundamentals of what data is, the difference between information and data, and the pragmatic application of abstract data modeling techniques in the day-to-day business. The data management techniques are described both from a scientific, theoretical perspective and from an a practical, application-related perspective. The theoretical concepts are illustrated with concrete examples. This combination of theory and practical application provides an own unique signature to this data management book, which distinguishes it from many other books. The field of Data Science is extensive and pulls together several disciplines as I will demonstrate shortly. A full account of what Data Science is, how it works, and all the techniques that are involved is beyond the scope of this chapter. Several definitions of Data Science are currently in use.
Автор: Bas van Gils
Издательство: Springer
Год: 2023
Страниц: 220
Язык: английский
Формат: pdf (true)
Размер: 10.0 MB
This book is about data fundamentals. The author describes in an accessible manner the fundamentals of what data is, the difference between information and data, and the pragmatic application of abstract data modeling techniques in the day-to-day business. The data management techniques are described both from a scientific, theoretical perspective and from an a practical, application-related perspective. The theoretical concepts are illustrated with concrete examples. This combination of theory and practical application provides an own unique signature to this data management book, which distinguishes it from many other books. The field of Data Science is extensive and pulls together several disciplines as I will demonstrate shortly. A full account of what Data Science is, how it works, and all the techniques that are involved is beyond the scope of this chapter. Several definitions of Data Science are currently in use.