USING NoSQL FOR PROCESSING UNSTRUCTURED BIG DATA

被引:0
作者
Balakayeva, G. T. [2 ]
Phillips, C. [3 ]
Darkenbayev, D. K. [1 ]
Turdaliyev, M. [1 ]
机构
[1] Al Farabi Kazakh Natl Univ, Alma Ata, Kazakhstan
[2] Al Farabi Kazakh Natl Univ, Comp Sci Dept, Alma Ata, Kazakhstan
[3] Univ Newcastle Tyne, Newcastle, England
来源
NEWS OF THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN-SERIES OF GEOLOGY AND TECHNICAL SCIENCES | 2019年 / 06期
关键词
processing Big Data; unstructured data; NoSQL; Web application;
D O I
10.32014/2019.2518-170X.151
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This paper provides an analysis of nowadays big data processing technologies. For processing unstructured large amount data, which is extremely in demand now (data in the form of video and audio files, animations, diagrams, etc.) authors used actual technologies based NoSQL. A comparative analysis of some NoSQL databases, which authors conducted and presented, showed that the choice of MongoDB is preferable, which was due to the simplicity and efficiency of working with this database. In authors opinion, after their researches, which are described in this article, it is now simpler and desirable to use an unstructured database for processing large amounts of data. In this article presents the results of the development database interfaces, development deployment diagrams, verifying the reliability and integration of data on NoSQL, creation of real Web application. While using NoSQL databases, especially MongoDB, can be to use only two tables with links to each other. In our opinion, this option is more convenient and understandable. Especially, when solving complex problems. It is this feature that will be applied by authors in the future to solve complex problems that require processing of large amount unstructured data.
引用
收藏
页码:12 / 21
页数:10
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