Knowledge Management in the Development of Data-Intensive Systems (Paperback)

Ivan Mistrik

ISBN 10: 1032015977 / ISBN 13: 9781032015972

Verlag: Taylor & Francis Ltd, London, 2023

Paperback. 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. This book explores the application of established software engineering knowledge and practices to developing big data systems, enhanced with dedicated knowledge management during software development. It looks at explicit knowledge construction and management and system development as a process of social construction of shared knowledge. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781032015972

Inhaltsangabe:

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.

Über die Autorin bzw. den Autor:

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.

Bibliografische Details

Titel: Knowledge Management in the Development of ...
Verlag: Taylor & Francis Ltd, London
Erscheinungsdatum: 2023
Einband: Paperback
Zustand: new