1st Edition
Engineering Agile Big-Data Systems
434 Pages
by
River Publishers
434 Pages
by
River Publishers
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... Read more
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
Biography
Kevin Feeney, Jim Davies, James Welch
