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A Comprehensive Analysis of Architectures and Methods of Real-Time Big Data Analytics

Sinan AY 1 and Sinan AY 2
1. Department of Computer Engineering, Turkish Military Academy, Ankara, Turkey
2. Department of Computer Engineering, Gazi University, Ankara, Turkey
Abstract—The studies of big data analytics has emerged due to the lack of data analysis methods, and storage problems with traditional database systems. Some big data applications require real time analysis, and there is time constraint to analyze for the applications. Various methods and have been proposed to overcome this difficulty. In this study, several architectures and applications for real-time big data analysis have been investigated and compared with each other in details. Valuable suggestions have been proposed for researchers working in real-time big data analytics. 
Index Terms—big data, real time analysis, real time big data architecture

Cite: Sinan AY and M. Ali Akçayol, "A Comprehensive Analysis of Architectures and Methods of Real-Time Big Data Analytics," Lecture Notes on Information Theory, Vol. 5, No. 1, pp. 7-12, June 2017. doi: 10.18178/lnit.5.1.7-12
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