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Journal of Engineering and Applied Sciences

ISSN: Online 1818-7803
ISSN: Print 1816-949x
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Mathematical Model for the Research of Systems with Massively Parallel Processing Based on Big Data

Serbin Vassiliy, Moldagulova Aiman, Duisebekova Kulanda, Satybaldiyeva Ryskhan, Orazbekov Sayatbek, Tursynkulova Akbota, Alimzhanova Laura, Zhuanyshev Ilyas, Rakhmetulayeva Sabina and Bektemyssova Gulnara
Page: 137-149 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

The right choice of technologies for managing big data banks will solve almost all key tasks of banks. The goal of the study is to make a comparative performance test and crash-test for Greenplum, Netezza, Exadata and Oracle systems on OS AIX based on big data SAS campaign management, also, formalization this processes by mathematical modeling. The 14 SAS campaigns of a large Kazakhstani bank were selected as big data. In the testing took into account the time and load scaling.


How to cite this article:

Serbin Vassiliy, Moldagulova Aiman, Duisebekova Kulanda, Satybaldiyeva Ryskhan, Orazbekov Sayatbek, Tursynkulova Akbota, Alimzhanova Laura, Zhuanyshev Ilyas, Rakhmetulayeva Sabina and Bektemyssova Gulnara. Mathematical Model for the Research of Systems with Massively Parallel Processing Based on Big Data.
DOI: https://doi.org/10.36478/jeasci.2018.137.149
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.137.149