Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/7133
Title: Big data analysis for studying water supply and sanitation coverage in cities (Russia)
Authors: Syromyatnikov, D. A.
Сыромятников, Д. А.
Keywords: Big data;Databases;New technologies;Services;Water supply and sanitation
Issue Date: 2019
Publisher: Revista Espacios
Citation: Syromyatnikov, 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. - 14p
Series/Report no.: Espacios
Abstract: Big 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 processing
URI: https://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=
http://hdl.handle.net/20.500.12258/7133
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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