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Engineering Agile Big-Data Systems (River Publishers Series in Software Engineering) - Tapa dura

 
9788770220163: Engineering Agile Big-Data Systems (River Publishers Series in Software Engineering)
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ISBN 10: 8770220166 ISBN 13: 9788770220163
Editorial: River Publishers, 2018

Sinopsis

To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design.Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Kevin Feeney, Jim Davies, James Welch

De la contraportada

To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be such that exhaustive testing is necessary before any new feature can be added to the existing design. In most cases, the precise details of requirements, policies and data will change during the lifetime of the system, forcing a choice between expensive modification and continued operation with an inefficient design. Engineering Agile Big-Data Systems outlines an approach to dealing with these problems in software and data engineering, describing a methodology for aligning these processes throughout product lifecycles. It discusses tools which can be used to achieve these goals, and, in a number of case studies, shows how the tools and methodology have been used to improve a variety of academic and business systems.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
River Publishers
Año de publicación
2018
Idioma
Inglés
ISBN 10 
8770220166
ISBN 13 
9788770220163
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
400
Editor
Feeney Kevin, Davies Jim, Welch James, Hellmann Sebastian, Dirschl Christian
Contacto del fabricante
Taylor & Francis
https://taylorandfrancis.com/knowledge/

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