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...
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| Format: | Elektronisch Buchkapitel |
| Sprache: | Englisch |
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Taylor & Francis
2018
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| Online-Zugang: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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DOAB: description of the publication
Engineering Agile Big-Data Systems
Veröffentlicht 2018
DOAB: download the publication
DOAB: description of the publication
Elektronisch
Buchkapitel