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Titlebook: Data in Context; Models as Enablers f Bas van Gils Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license t

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发表于 2025-3-21 18:16:28 | 显示全部楼层 |阅读模式
书目名称Data in Context
副标题Models as Enablers f
编辑Bas van Gils
视频video
概述Helps students/professionals to get a better understanding of what data is and how to design effective data structures.Details how to use (data) models as an enabler for data management.Shows how to e
丛书名称The Enterprise Engineering Series
图书封面Titlebook: Data in Context; Models as Enablers f Bas van Gils Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license t
描述Data is an increasingly important asset for many organizations. This book shows how to model data in a way that allows to exploit this asset effectively and in every respect. To this end, it combines and exploits scientific (semiotics, relational model, etc.) and pragmatic theories (most prominently: the DAMA wheel) and provides a coherent overview from a business and an IT/ICT perspective..After a brief introduction, the remaining book consists of three parts. In Part I “Data”, the focus is on understanding data. It includes theories in semiotics, the relational model, and normalization, as well as related theories around understanding data/designing sound data structures. This part is complemented by an extensive chapter on how to design effective data structures and a smaller one on the topic of create versus use context. Part II “Data Management” then focuses on managing data as an asset. This part is based on the DMBOK and each of the functional areas is discussed in a separate chapter. Part III “Parting Thoughts” presents conclusions which are based on a synthesis of Part I and Part II, leading up to a summary of the main contributions of this book as well as a critical refle
出版日期Textbook 2023
关键词Business Information Systems; Data Science; DAMA DMBoK; Business Intelligence; Data Management; Data Mode
版次1
doihttps://doi.org/10.1007/978-3-031-35539-4
isbn_softcover978-3-031-35538-7
isbn_ebook978-3-031-35539-4Series ISSN 1867-8920 Series E-ISSN 1867-8939
issn_series 1867-8920
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Bas van GilsHelps students/professionals to get a better understanding of what data is and how to design effective data structures.Details how to use (data) models as an enabler for data management.Shows how to e
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The Enterprise Engineering Serieshttp://image.papertrans.cn/d/image/263260.jpg
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https://doi.org/10.1007/978-3-031-35539-4Business Information Systems; Data Science; DAMA DMBoK; Business Intelligence; Data Management; Data Mode
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978-3-031-35538-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Morten Silcowitz,Sarah Niebe,Kenny Erleben. Architecture, in turn, deals with (1) the fundamental properties of a system and (2) the principles guiding its design and evolution. With this in mind, an overview of the field of data architecture is presented. It is argued that data architecture deals with the big ticket decisions that affect h
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Data in Context978-3-031-35539-4Series ISSN 1867-8920 Series E-ISSN 1867-8939
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Textbook 2023ly and in every respect. To this end, it combines and exploits scientific (semiotics, relational model, etc.) and pragmatic theories (most prominently: the DAMA wheel) and provides a coherent overview from a business and an IT/ICT perspective..After a brief introduction, the remaining book consists
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