Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/7133
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dc.contributor.authorSyromyatnikov, D. A.-
dc.contributor.authorСыромятников, Д. А.-
dc.date.accessioned2019-09-09T14:16:43Z-
dc.date.available2019-09-09T14:16:43Z-
dc.date.issued2019-
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.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85071359372&origin=resultslist&sort=plf-f&src=s&st1=Big+data+analysis+for+studying+water+supply+and+sanitation+coverage+in+cities&st2=&sid=497854b0fd47c4750446611df6c0c329&sot=b&sdt=b&sl=92&s=TITLE-ABS-KEY%28Big+data+analysis+for+studying+water+supply+and+sanitation+coverage+in+cities%29&relpos=0&citeCnt=0&searchTerm=-
dc.identifier.urihttp://hdl.handle.net/20.500.12258/7133-
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.language.isoenru
dc.publisherRevista Espaciosru
dc.relation.ispartofseriesEspacios-
dc.subjectBig dataru
dc.subjectDatabasesru
dc.subjectNew technologiesru
dc.subjectServicesru
dc.subjectWater supply and sanitationru
dc.titleBig data analysis for studying water supply and sanitation coverage in cities (Russia)ru
dc.typeСтатьяru
vkr.instИнститут экономики и управления-
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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