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|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|
|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|
|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|
|Appears in Collections:||Статьи, проиндексированные в SCOPUS, WOS|
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