Engineering Agile Big-Data Systems
CC-BY-NC 4.0
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Taylor & Francis
2023
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oai:localhost:PNK-68462023-03-15T16:52:23Z Engineering Agile Big-Data Systems Feeney, Kevin Davies, Jim Welch, James Computer programming software engineering Data mining CC-BY-NC 4.0 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 2023-03-15T16:52:23Z 2023-03-15T16:52:23Z 2018 Book 9781000795868 https://dlib.phenikaa-uni.edu.vn/handle/PNK/6846 en application/pdf Taylor & Francis |
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Digital Phenikaa |
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Digital Phenikaa |
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English |
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Computer programming software engineering Data mining |
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Computer programming software engineering Data mining Feeney, Kevin Davies, Jim Welch, James Engineering Agile Big-Data Systems |
description |
CC-BY-NC 4.0 |
format |
Book |
author |
Feeney, Kevin Davies, Jim Welch, James |
author_facet |
Feeney, Kevin Davies, Jim Welch, James |
author_sort |
Feeney, Kevin |
title |
Engineering Agile Big-Data Systems |
title_short |
Engineering Agile Big-Data Systems |
title_full |
Engineering Agile Big-Data Systems |
title_fullStr |
Engineering Agile Big-Data Systems |
title_full_unstemmed |
Engineering Agile Big-Data Systems |
title_sort |
engineering agile big-data systems |
publisher |
Taylor & Francis |
publishDate |
2023 |
url |
https://dlib.phenikaa-uni.edu.vn/handle/PNK/6846 |
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1760553556048347136 |
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8.891145 |