Engineering Agile Big-Data Systems
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, th...
Saved in:
Main Author: | Feeney, Kevin (auth) |
---|---|
Other Authors: | Davies, Jim (auth), Welch, James (auth) |
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Taylor & Francis
2018
|
Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Engineering Agile Big-Data Systems
by: Feeney, Kevin
Published: (2018) -
Fundamental Approaches to Software Engineering 24th International Conference, FASE 2021, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 - April 1, 2021, Proceedings
Published: (2021) -
Fundamental Approaches to Software Engineering 24th International Conference, FASE 2021, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 - April 1, 2021, Proceedings
Published: (2021) -
Introduction to Scientific Programming with Python
by: Sundnes, Joakim
Published: (2020) -
Introduction to Scientific Programming with Python
by: Sundnes, Joakim
Published: (2020)