The research of social processes at the university using big data

The volume of information in the 21st century is growing at a rapid pace. Big data technologies are used to process modern information. This article discusses the use of big data technologies to implement monitoring of social processes. Big data has its characteristics and principles, which reflect...

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Autores principales: Hacimahmud Abdullayev Vugar, Ali Ragimova Nazila, Etibar Khalilov Matlab
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FR
Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/ed8f3ac3e08c4fe2b310f95305d0244a
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spelling oai:doaj.org-article:ed8f3ac3e08c4fe2b310f95305d0244a2021-12-02T17:13:38ZThe research of social processes at the university using big data2261-236X10.1051/matecconf/202134801003https://doaj.org/article/ed8f3ac3e08c4fe2b310f95305d0244a2021-01-01T00:00:00Zhttps://www.matec-conferences.org/articles/matecconf/pdf/2021/17/matecconf_inbes2021_01003.pdfhttps://doaj.org/toc/2261-236XThe volume of information in the 21st century is growing at a rapid pace. Big data technologies are used to process modern information. This article discusses the use of big data technologies to implement monitoring of social processes. Big data has its characteristics and principles, which reflect here. In addition, we also discussed big data applications in some areas. Particular attention in this article pays to the interactions of big data and sociology. For this, there consider digital sociology and computational social sciences. One of the main objects of study in sociology is social processes. The article shows the types of social processes and their monitoring. As an example, there is implemented monitoring of social processes at the university. There are used following technologies for the realization of social processes monitoring: products 1010data (1010edge, 1010connect, 1010reveal, 1010equities), products of Apache Software Foundation (Apache Hive, Apache Chukwa, Apache Hadoop, Apache Pig), MapReduce framework, language R, library Pandas, NoSQL, etc. Despite this, this article examines the use of the MapReduce model for social processes monitoring at the university.Hacimahmud Abdullayev VugarAli Ragimova NazilaEtibar Khalilov MatlabEDP Sciencesarticlebig datasociologysocial processmonitoring of social processhadoopmapreduceuniversityEngineering (General). Civil engineering (General)TA1-2040ENFRMATEC Web of Conferences, Vol 348, p 01003 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic big data
sociology
social process
monitoring of social process
hadoop
mapreduce
university
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle big data
sociology
social process
monitoring of social process
hadoop
mapreduce
university
Engineering (General). Civil engineering (General)
TA1-2040
Hacimahmud Abdullayev Vugar
Ali Ragimova Nazila
Etibar Khalilov Matlab
The research of social processes at the university using big data
description The volume of information in the 21st century is growing at a rapid pace. Big data technologies are used to process modern information. This article discusses the use of big data technologies to implement monitoring of social processes. Big data has its characteristics and principles, which reflect here. In addition, we also discussed big data applications in some areas. Particular attention in this article pays to the interactions of big data and sociology. For this, there consider digital sociology and computational social sciences. One of the main objects of study in sociology is social processes. The article shows the types of social processes and their monitoring. As an example, there is implemented monitoring of social processes at the university. There are used following technologies for the realization of social processes monitoring: products 1010data (1010edge, 1010connect, 1010reveal, 1010equities), products of Apache Software Foundation (Apache Hive, Apache Chukwa, Apache Hadoop, Apache Pig), MapReduce framework, language R, library Pandas, NoSQL, etc. Despite this, this article examines the use of the MapReduce model for social processes monitoring at the university.
format article
author Hacimahmud Abdullayev Vugar
Ali Ragimova Nazila
Etibar Khalilov Matlab
author_facet Hacimahmud Abdullayev Vugar
Ali Ragimova Nazila
Etibar Khalilov Matlab
author_sort Hacimahmud Abdullayev Vugar
title The research of social processes at the university using big data
title_short The research of social processes at the university using big data
title_full The research of social processes at the university using big data
title_fullStr The research of social processes at the university using big data
title_full_unstemmed The research of social processes at the university using big data
title_sort research of social processes at the university using big data
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/ed8f3ac3e08c4fe2b310f95305d0244a
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