Authors : Serbin Vassiliy, Moldagulova Aiman, Duisebekova Kulanda, Satybaldiyeva Ryskhan, Orazbekov Sayatbek, Tursynkulova Akbota, Alimzhanova Laura, Zhuanyshev Ilyas, Rakhmetulayeva Sabina and Bektemyssova Gulnara
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.
Serbin Vassiliy, Moldagulova Aiman, Duisebekova Kulanda, Satybaldiyeva Ryskhan, Orazbekov Sayatbek, Tursynkulova Akbota, Alimzhanova Laura, Zhuanyshev Ilyas, Rakhmetulayeva Sabina and Bektemyssova Gulnara, 2018. Mathematical Model for the Research of Systems with Massively Parallel Processing Based on Big Data. Journal of Engineering and Applied Sciences, 13: 137-149.