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Using NoSQL for processing unstructured big data

Lookup NU author(s): Professor Chris Phillips

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Abstract

© 2019, National Academy of Sciences of the Republic of Kazakhstan. All rights reserved.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.


Publication metadata

Author(s): Balakayeva GT, Phillips C, Darkenbayev DK, Turdaliyev M

Publication type: Article

Publication status: Published

Journal: News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences

Year: 2019

Volume: 6

Issue: 438

Pages: 12-21

Print publication date: 01/11/2019

Acceptance date: 02/04/2018

ISSN (print): 2224-5278

ISSN (electronic): 2518-170X

Publisher: National Academy of Sciences of the Republic of Kazakhstan

URL: https://doi.org/10.32014/2019.2518-170X.151

DOI: 10.32014/2019.2518-170X.151


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