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020 _a9783031355394
_9978-3-031-35539-4
024 7 _a10.1007/978-3-031-35539-4
_2doi
050 4 _aHD30.19-.29
072 7 _aUF
_2bicssc
072 7 _aCOM005000
_2bisacsh
072 7 _aUXJ
_2thema
082 0 4 _a005.3
_223
100 1 _avan Gils, Bas.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aData in Context
_h[electronic resource] :
_bModels as Enablers for Managing and Using Data /
_cby Bas van Gils.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXX, 217 p. 82 illus., 28 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aThe Enterprise Engineering Series,
_x1867-8939
520 _aData 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 reflection on these results. This book is written for a rather broad audience, ranging from professionals to students, both from business, computer science, and information management. The writing style is adjusted specifically for these groups. At the end of each chapter reflection questions are included that distinguish between questions for practitioners and for students and help both audiences to benefit from the book and check their comprehension.
650 0 _aInformation technology
_xManagement.
650 0 _aDatabase management.
650 0 _aBusiness information services.
650 0 _aArtificial intelligence
_xData processing.
650 1 4 _aComputer Application in Administrative Data Processing.
650 2 4 _aDatabase Management.
650 2 4 _aBusiness Information Systems.
650 2 4 _aData Science.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031355387
776 0 8 _iPrinted edition:
_z9783031355400
830 0 _aThe Enterprise Engineering Series,
_x1867-8939
856 4 0 _uhttps://doi.org/10.1007/978-3-031-35539-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c178141
_d178141