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dc.contributor.authorSyromyatnikov, D. A.-
dc.contributor.authorСыромятников, Д. А.-
dc.identifier.citationSyromyatnikov, D.A., Pyatkina, D.A., Kondratenko, L.N., Krivolapov, S.I., Stepanova, D.I. Big data analysis for studying water supply and sanitation coverage in cities (Russia) // Espacios. - 2019. - Volume 40. - Issue 27. - 14pru
dc.description.abstractBig data analysis for water supply and sanitation is important for ensuring urban viability. Our research is devoted to studying the methodology for analyzing big data of the water supply and sanitation systems. Based on a review of scientific publications and their analysis, a model for analyzing large data was proposed. It comprises information sources, data collection and storage platforms with indication of parameters for the programming model, runtime and storage environment, as well as data analysis and processingru
dc.publisherRevista Espaciosru
dc.subjectBig dataru
dc.subjectNew technologiesru
dc.subjectWater supply and sanitationru
dc.titleBig data analysis for studying water supply and sanitation coverage in cities (Russia)ru
vkr.instИнститут экономики и управления-
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