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ITI əməkdaslarının elmi isləri Elektron kitabxana Konfranslar İnformasiya Sistemi Qəzetlər UOT 004
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 Biblioqrafik təsvir
 Aliguliyev , R.M. Conceptual Big Data architecture for the Oiland Gas Industry / R.M. Aliguliyev , Y.N. Imamverdiyev // Problems of information technology. - 2017. - N: 1. - P. 3-13.
 Annotasiya
 Big data technologies provide important approaches and tools for the creation of data management systems in oil and gas industry. The paper proposes a conceptual architecture for a hybrid Big data platform for storing and analyzing large volumes of data gathered from oil and gas industry systems in real-time by deep analytics and machine learning methods in distributed cluster systems. We also consider the question of selection of necessary tools from Hadoop ecosystem for building of a viable Big data solution(pp.3-13).
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