Application of Big Data Analytics via Cloud Computing
Yunus Yetis, Ruthvik Goud Sara, Berat Alper Erol, Halid Kaplan, Abdurrahman Akuzum, Mo M. Jamshidi · 2016
Advances in sensor technology, the Internet of things (IoT), social networking, wireless communications and huge collection of data from years have all contributed to a new field of study Big Data is discussed in this paper. The System of Systems (SoS) integrates independently operating, non-homogeneous systems to achieve a higher goal than the sum of the parts. Recently, management of data has become strenuous and SoS helps in solving the problems and providing solutions, with the new approaches in Data Analytics. Data Analytics uses both statistical and cloud computing using machine learning or computational intelligence to reduce the size of Big Data to a manageable size to extract information, build a knowledge base using the derived data, and eventually develop a nonparametric model for the Big Data. In this research, the approaches towards the cloud environment for Data Analytics is discussed which is one of the key application areas of Big Data. Through this analysis and survey, we provide recommendations for the research community on future directions on providing data-based decisions for cloud-supported Big Data computing and analytic solutions.