A Novel Distributed Software Architecture for Managing Customer Behavior Data: A Case Study in Banking Sector

被引：0
|
作者：
Kargili, Ozer Batu [1 ]
Arik, Ahmet Okan [2 ]
Bekler, Merve [1 ]
Kose, Osman Uygar [1 ]
Aktas, Mehmet S. [3 ]
机构：
[1] GTech, R&D Dept, Istanbul, Turkey
[2] Yeditepe Univ, Management Informat Syst, Istanbul, Turkey
[3] Yildiz Tech Univ, Comp Engn, Istanbul, Turkey
来源：
2021 21ST INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ITS APPLICATIONS ICCSA 2021 | 2021年
关键词：
Distributed Big Data Systems; Software Architectures; Lambda Architecture; Big Data Processing; Banking Sector; BIG DATA ANALYTICS;
D O I：
10.1109/ICCSA54496.2021.00037
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We propose a Lambda-based, distributed, big data analysis architecture explicitly designed for the banking sector within the scope of this study. The proposed architecture is designed to extract useful information from user behavior data. The results derived from user behavior data obtained from many sources aim to increase the performance and efficiency of digital banking applications. The prototype implementation of the proposed architecture is designed, developed, and implemented. Performance and scalability tests were carried out on the prototype application. The results obtained reveal the usability of the proposed architecture in the banking sector.
引用
收藏
页码：211 / 217
页数：7
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