Journal of Maternal-Fetal and Neonatal Medicine.
Taylor and Francis Ltd.
2019.
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.
Authors
Syromyatnikov D.A.1
,
Pyatkina D.A.
2
,
Kondratenko L.N.3
,
Krivolapov S.I.4
,
Stepanova D.I.5
Journal
Publisher
Revista Espacios
Number of issue
27
Language
English
Status
Published
Link
Volume
40
Year
2019
Organizations
- 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
Keywords
Big data; Databases; New technologies; Services; Water supply and sanitation
Date of creation
24.12.2019
Date of change
24.12.2019
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Journal of Dispersion Science and Technology.
Taylor and Francis Inc..
2019.