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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Bibliographic Details
Published in:MATEC web of conferences 2021, Vol.348, p.1003
Main Authors: Hacimahmud, Abdullayev Vugar, Ali, Ragimova Nazila, Etibar, Khalilov Matlab
Format: Article
Language:English
Subjects:
Big Data
hadoop
mapreduce
Monitoring
monitoring of social process
social process
Sociology
university
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Summary: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.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/202134801003