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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| Other Authors: | , |
| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Taylor & Francis
2018
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| Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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Internet
OAPEN Library: download the publicationOAPEN Library: description of the publication
3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |