Big Data Analysis Solutions: A Review

Exploring Challenges and Advancements in Big Data Visualization

Authors

  • Priyanka P. Shinde Department of Computer Application Author

Keywords:

Big Data analytics, data size, complexity, visualization, complete view, data values, integrated, seamlessly, conventional data visualization methods, challenges, new methods, applications, technology progress

Abstract

Big Data analytics plays a key role in 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.

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Published

2017-03-10