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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| Autors principals: | , , |
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| Format: | Online |
| Idioma: | anglès |
| Publicat: |
Taylor & Francis
2022
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| Matèries: | |
| Accés en línia: | ONIX_20221128_9781000795868_33 |
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