Knowledge Management in the Development of Data-Intensive Systems
Mistrik, Ivan, Galster, Matthias, Maxim, Bruce R.
- 出版商: Auerbach Publication
- 出版日期: 2023-09-25
- 售價: $2,460
- 貴賓價: 9.5 折 $2,337
- 語言: 英文
- 頁數: 312
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032015977
- ISBN-13: 9781032015972
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商品描述
Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge.
Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems.
Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.
商品描述(中文翻譯)
資料密集型系統是處理和生成大數據的軟體應用程式。資料密集型系統支援策略性和高效率地使用大量資料以提供智能化。例如,檢視工業感測器資料或業務流程資料可以增強生產力,引導主動改進開發流程,或優化供應鏈系統。設計資料密集型軟體系統很困難,因為知識在利害關係人之間的分散造成了無知的不對稱,共同的未來願景需要開發新知識,擴展和綜合現有知識。
《資料密集型系統開發中的知識管理》探討了在開發資料密集型軟體系統時出現的知識管理新挑戰。這些挑戰涉及需求、架構設計、詳細設計、實施和維護。本書介紹了資料密集型軟體系統開發中知識管理的現狀和未來方向。本書包含學術和工業界的貢獻,討論了軟體工程在應對開發、維護和演進系統的挑戰方面的作用;雲端和移動服務的資料密集型軟體系統以及它們所需的可擴展性要求。本書介紹了能夠有效處理資料密集型系統以及從資料密集型系統中受益的應用和使用案例的軟體工程方法。
本書從技術和非技術的角度全面介紹了資料密集型系統的概念,並專注於軟體工程和知識管理在設計和維護資料密集型系統方面。本書涵蓋了構建、部署和維護高品質軟體產品以及在動態和靈活環境中進行軟體工程的內容。本書為那些需要了解變異對軟體生命週期各個方面影響的人提供了全面的指南。它利用實踐經驗和證據展望了組織在快速變化的世界中面臨的挑戰,以及客戶需求和期望日益快速變化的情況。
作者簡介
William G. Doerner is a retired Professor of Criminology and Criminal Justice at Florida State University, where he served since 1977. A specialist in victimology and law enforcement issues, he holds a Ph.D. in Sociology from the University of Tennessee. Doerner retired from active duty with the Tallahassee Police Department after 29 years of service as a part-time sworn law enforcement officer. He served on the Board of Directors for the National Organization of Victim Assistance and was the Founding President of the Florida Network of Victim/Witness Services, past Director of the Program in Criminal Justice at Florida State University, and a previous editor of the American Journal of Criminal Justice. In addition to other professional accolades, Doerner received the Outstanding Educator of the Year Award from the Southern Criminal Justice Association and was a winner of the John P.J. Dussich Award from the American Society of Victimology.
Steven P. Lab is Professor of Criminal Justice at Bowling Green State University. He holds a Ph.D. in Criminology from the Florida State University School of Criminology and Criminal Justice. Lab is the author or co-author of five books, co-editor of one encyclopedia, and the author of more than 50 articles or book chapters. He is a past editor of the Journal of Crime and Justice. Lab has been a visiting professor at the Jill Dando Institute of Crime Science of the University College London and at Keele University in Staffordshire, England, as well as a Visiting Fellow at Loughborough University (England) and a Research Consultant with the Perpetuity Research Group at Leicester University (England). Lab has received grant funding for several large research projects from the National Institute of Justice and has served as a consultant to the Ohio Attorney General's Office, the Arizona Governor's Office, and various offices of the U.S. Department of Justice. Lab is also a past president of the Academy of Criminal Justice Sciences.
作者簡介(中文翻譯)
William G. Doerner是佛羅里達州立大學退休的犯罪學和刑事司法教授,他在該校任教自1977年起。作為一位受害者學和執法問題專家,他擁有田納西大學的社會學博士學位。Doerner在塔拉哈西警察局服務了29年,退休時是一名兼職宣誓執法人員。他曾擔任國家受害者協助組織的董事會成員,並擔任佛羅里達州受害者/證人服務網絡的創始主席,曾任佛羅里達州立大學刑事司法計劃主任,以及美國刑事司法期刊的前編輯。除了其他專業榮譽外,Doerner還獲得了南方刑事司法協會的傑出教育家年度獎和美國受害者學會的John P.J. Dussich獎。
Steven P. Lab是Bowling Green State University的刑事司法教授。他擁有佛羅里達州立大學犯罪學和刑事司法學院的犯罪學博士學位。Lab是五本書的作者或合著者,一本百科全書的合編者,以及50多篇文章或書籍章節的作者。他曾擔任《犯罪與正義期刊》的編輯。Lab曾擔任倫敦大學季爾·丹多犯罪科學研究所和英格蘭斯塔福德郡基爾大學的客座教授,以及英格蘭拉夫堡大學的訪問研究員和萊斯特大學永續研究小組的研究顧問。Lab曾獲得國家司法研究所的多個大型研究項目的資助,並曾擔任俄亥俄州檢察長辦公室、亞利桑那州州長辦公室和美國司法部的各個辦公室的顧問。Lab還曾擔任刑事司法科學學會的前主席。