Big Data and Visualization: Methods, Challenges and Technology Progress

Lidong Wang^1, , Guanghui Wang² and Cheryl Ann Alexander³

¹Department of Engineering Technology, Mississippi Valley State University, USA

²State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, China

³Technology and Healthcare Solutions, Inc., USA

Cite this paper:
Lidong Wang, Guanghui Wang and Cheryl Ann Alexander. Big Data and Visualization: Methods, Challenges and Technology Progress. Digital Technologies. 2015; 1(1):33-38. doi: 10.12691/dt-1-1-7

Abstract

Big Data analytics plays a key role through reducing the data size and complexity in Big Data applications. Visualization is an important approach to helping Big Data get a complete view of data and discover data values. Big Data analytics and visualization should be integrated seamlessly so that they work best in Big Data applications. Conventional data visualization methods as well as the extension of some conventional methods to Big Data applications are introduced in this paper. The challenges of Big Data visualization are discussed. New methods, applications, and technology progress of Big Data visualization are presented.

Keywords:
Big Data visualization interactive visualization virtual reality networks cloud computing information technology telecommunication systems

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