Big data analysis for studying water supply and sanitation coverage in cities (Russia)

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. © 2019.

Авторы
Syromyatnikov D.A.1 , Pyatkina D.A. 2 , Kondratenko L.N.3 , Krivolapov S.I.4 , Stepanova D.I.5
Журнал
Издательство
Revista Espacios
Номер выпуска
27
Язык
Английский
Статус
Опубликовано
Том
40
Год
2019
Организации
  • 1 Department of Economy and Foreign Economic Activity, North-Caucasus Federal University, Stavropol, Russian Federation
  • 2 Department of Applied Informatics And Probability Theory, Peoples' Friendship University of Russia (RUDN University), Moscow, Russian Federation
  • 3 Department of Advanced Mathematics, Kuban State Agrarian University I. T. Trubilin, Krasnodar, Russian Federation
  • 4 Departament of Analysis, Making Decisions and Financial Technology, Financial University under Government of Russian Federation, Moscow, Russian Federation
  • 5 Department of Finance and Prices, Plekhanov Russian University of Economics, Moscow, Russian Federation
Ключевые слова
Big data; Databases; New technologies; Services; Water supply and sanitation
Дата создания
24.12.2019
Дата изменения
24.12.2019
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/55535/