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Making big data small

Big data analytics is often prohibitively costly and is typically conducted by parallel processing with a cluster of machines. Is big data analytics beyond the reach of small companies that can only afford limited resources? This paper tackles this question by presenting Boundedly EvAlable SQL (BEAS...

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Библиографические подробности
Опубликовано в: :Proc Math Phys Eng Sci
Главный автор: Fan, Wenfei
Формат: Artigo
Язык:Inglês
Опубликовано: The Royal Society Publishing 2019
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6545042/
https://ncbi.nlm.nih.gov/pubmed/31236056
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2019.0034
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