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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Autori principali:	Feeney, Kevin, Davies, Jim, Welch, James
Natura:	Online
Lingua:	inglese
Pubblicazione:	Taylor & Francis 2022
Soggetti:	Computer programming / software engineering Data mining
Accesso online:	ONIX_20221128_9781000795868_33
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