Data Warehouse Requirements Engineering: A Decision Based Approach
暫譯: 數據倉儲需求工程：基於決策的方法

Prakash, Naveen, Prakash, Deepika

Data Warehouse Requirements Engineering: A Decision Based Approach
  • 出版商: Springer
  • 出版日期: 2018-12-23
  • 售價: $2,840
  • 貴賓價: 9.5 折 $2,698
  • 語言: 英文
  • 頁數: 173
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9811349878
  • ISBN-13: 9789811349874

    • 海外代購書籍(需單獨結帳)

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商品描述

As the first to focus on the issue of Data Warehouse Requirements Engineering, this book introduces a model-driven requirements process used to identify requirements granules and incrementally develop data warehouse fragments. In addition, it presents an approach to the pair-wise integration of requirements granules for consolidating multiple data warehouse fragments. The process is systematic and does away with the fuzziness associated with existing techniques. Thus, consolidation is treated as a requirements engineering issue.

The notion of a decision occupies a central position in the decision-based approach. On one hand, information relevant to a decision must be elicited from stakeholders; modeled; and transformed into multi-dimensional form. On the other, decisions themselves are to be obtained from decision applications. For the former, the authors introduce a suite of information elicitation techniques specific to data warehousing. This information is subsequently converted into multi-dimensional form. For the latter, not only are decisions obtained from decision applications for managing operational businesses, but also from applications for formulating business policies and for defining rules for enforcing policies, respectively.

In this context, the book presents a broad range of models, tools and techniques. For readers from academia, the book identifies the scientific/technological problems it addresses and provides cogent arguments for the proposed solutions; for readers from industry, it presents an approach for ensuring that the product meets its requirements while ensuring low lead times in delivery.

商品描述(中文翻譯)

作為首部專注於資料倉儲需求工程的書籍，本書介紹了一個模型驅動的需求過程，用於識別需求粒度並逐步開發資料倉儲片段。此外，本書提出了一種需求粒度的成對整合方法，以整合多個資料倉儲片段。該過程是系統性的，消除了現有技術所帶來的模糊性。因此，整合被視為一個需求工程問題。

決策的概念在基於決策的方法中佔據了核心位置。一方面，與決策相關的信息必須從利益相關者那裡引出；建模；並轉換為多維形式。另一方面，決策本身則是從決策應用中獲得的。對於前者，作者介紹了一套特定於資料倉儲的信息引出技術。這些信息隨後被轉換為多維形式。對於後者，不僅從管理運營業務的決策應用中獲得決策，還從制定商業政策和定義執行政策的規則的應用中獲得決策。

在這個背景下，本書呈現了一系列廣泛的模型、工具和技術。對於來自學術界的讀者，本書確定了其所解決的科學/技術問題，並為所提出的解決方案提供了有力的論據；對於來自業界的讀者，本書提出了一種確保產品滿足其需求的方式，同時確保交付的低交貨時間。

作者簡介

Naveen Prakash obtained his doctoral degree from the Indian Institute of Technology Delhi (IIT Delhi) in 1980. He subsequently worked at the Bhabha Atomic Research Centre, Mumbai and at the National Center for Software Development and Computing Techniques, Tata Institute of Fundamental Research (NCSDCT, TIFR) before joining the R&D group of CMC Ltd where he worked for over 10 years doing industrial R&D. In 1989, he moved to academics. He worked at the Department of Computer Science and Engineering, Indian Institute of Technology Kanpur (IIT Kanpur), and at the Delhi Institute of Technology (DIT) (now Netaji Subhas Institute of Technology (NSIT)), Delhi. During this period he provided consultancy services to Asian Development Bank and African Development Bank projects in Sri Lanka and Tanzania, respectively, as well as to the Indira Gandhi National Centre for the Arts (IGNCA) as a United Nations Development Programme (UNDP) consultant. He served as a scientific advisor to the British Council Division, New Delhi and took up the directorship of various educational institutes in India. Post-retirement, he worked on a World Bank project in Malawi.

Professor Prakash has lectured extensively in various universities abroad. He is on the editorial board of the Requirements Engineering Journal, and of the International Journal of Information System Modeling and Design (IJISMD). He has published over 70 research papers and authored two books.

Prof. Prakash continues to be an active researcher. Besides Business Intelligence and Data Warehousing, his interests include the Internet-of-things and NoSQL database. He also lectures at the Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi.

Deepika Prakash obtained her Ph.D. from Delhi Technological University, Delhi in the area of Data Warehouse Requirements Engineering. Currently, she is an Assistant Professor at the Department of Big Data Analytics, Central University of Rajasthan, Rajasthan.

Dr. Prakash has five years of teaching experience, as well as two years of experience in industrial R&D, building data marts for purchase, sales and inventory and in data mart integration. Her responsibilities spanned the complete life cycle, from requirements engineering through conceptual modeling to extract-transform-load (ETL) activities.

As a researcher, she has authored a number of papers in international forums and has delivered invited lectures at a number of Institutes throughout India. Her current research interests include Business Intelligence, Health Analytics, and the Internet-of-Things.

作者簡介(中文翻譯)

Naveen Prakash於1980年獲得印度德里理工學院（IIT Delhi）的博士學位。隨後，他在孟買的巴巴原子研究中心（Bhabha Atomic Research Centre）和塔塔基礎研究所的國家軟體開發與計算技術中心（NCSDCT, TIFR）工作，之後加入CMC有限公司的研發團隊，在那裡從事工業研發超過10年。1989年，他轉向學術界，曾在印度德里理工學院（IIT Kanpur）的計算機科學與工程系以及德里技術學院（DIT）（現為內塔吉·蘇巴斯技術學院（NSIT））任教。在此期間，他為亞洲開發銀行和非洲開發銀行在斯里蘭卡和坦尚尼亞的項目提供顧問服務，並作為聯合國開發計劃署（UNDP）顧問為英迪拉·甘地國家藝術中心（IGNCA）提供服務。他曾擔任英國文化協會新德里分部的科學顧問，並擔任印度多所教育機構的主任。退休後，他在馬拉維的世界銀行項目中工作。

Prakash教授在國外多所大學進行了廣泛的講座。他是《需求工程期刊》（Requirements Engineering Journal）和《國際資訊系統建模與設計期刊》（International Journal of Information System Modeling and Design, IJISMD）的編輯委員會成員。他已發表超過70篇研究論文並著有兩本書籍。

Prakash教授仍然是一位活躍的研究者。除了商業智慧和數據倉儲外，他的興趣還包括物聯網和NoSQL數據庫。他還在德里英迪拉·甘地女子技術大學（IGDTUW）授課。

Deepika Prakash於德里技術大學獲得數據倉儲需求工程領域的博士學位。目前，她是拉賈斯坦中央大學大數據分析系的助理教授。

Prakash博士擁有五年的教學經驗，以及兩年的工業研發經驗，專注於為採購、銷售和庫存建立數據集市及數據集市整合。她的工作涵蓋了完整的生命週期，從需求工程到概念建模，再到提取-轉換-加載（ETL）活動。

作為一名研究者，她在國際論壇上發表了多篇論文，並在印度多所機構進行了受邀講座。她目前的研究興趣包括商業智慧、健康分析和物聯網。

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