
Engineering Agile Big-Data Systems
Taylor & Francis (Publisher)
Published on 1. September 2022
302 pages
978-1-000-79254-6 (ISBN)
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Description
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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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ebooks
Product notice
Reflowable
File size
5,87 MB
ISBN-13
978-1-000-79254-6 (9781000792546)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Kevin Feeney | Jim Davies | James Welch
Engineering Agile Big-Data Systems
Book
10/2024
1st Edition
River Publishers
€54.50
Article not available for order

Kevin Feeney | Jim Davies | James Welch
Engineering Agile Big-Data Systems
Book
07/2018
River Publishers
€166.00
Article not available for order
Persons
Kevin Feeney, Jim Davies, James Welch
Content
Preface Acknowledgements List of Contributors List of Figures List of Tables List of Abbreviations 1 Introduction 2 ALIGNED Use Cases - Data and Software Engineering Challenges 3 Methodology 4 ALIGNED MetaModel Overview 5 Tools 6 Use Cases 7 Evaluation Appendix A - Requirements Index About the Editors
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