Mendeley出力
Data in Context : Models as Enablers for Managing and Using Data / by Bas van Gils
(The Enterprise Engineering Series. ISSN:18678939)
| データ種別 | 電子ブック |
|---|---|
| 版 | 1st ed. 2023. |
| 出版者 | (Cham : Springer Nature Switzerland : Imprint: Springer) |
| 出版年 | 2023 |
| 大きさ | XX, 217 p. 82 illus., 28 illus. in color : online resource |
| 著者標目 | *van Gils, Bas author SpringerLink (Online service) |
書誌詳細を非表示
| 一般注記 | 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 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 HTTP:URL=https://doi.org/10.1007/978-3-031-35539-4 |
|---|---|
| 件 名 | LCSH:Information technology -- Management
全ての件名で検索
LCSH:Database management LCSH:Business information services LCSH:Artificial intelligence -- Data processing 全ての件名で検索 FREE:Computer Application in Administrative Data Processing FREE:Database Management FREE:Business Information Systems FREE:Data Science |
| 分 類 | LCC:HD30.19-.29 DC23:005.3 |
| 書誌ID | EB00001813 |
| ISBN | 9783031355394 |
類似資料
この資料の利用統計
このページへのアクセス回数：6回
※2019年3月27日以降
全貸出数：0回
(1年以内の貸出：0回)
※2019年3月27日以降