Digital Technologies
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Digital Technologies. 2015, 1(1), 33-38
DOI: 10.12691/dt-1-1-7
Open AccessReview Article

Big Data and Visualization: Methods, Challenges and Technology Progress

Lidong Wang1, , 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

Pub. Date: July 20, 2015

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


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.

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

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