Authors:
Enrico G. Caldarola
1
and
Antonio M. Rinaldi
2
Affiliations:
1
University of Naples Federico II and National Research Council, Italy
;
2
University of Naples Federico II, Italy
Keyword(s):
Big Data, Big Data Visualization, Graph Visualization, Information Visualization, Big Data Analytics, Visual Analytics.
Abstract:
In the era of Big Data, a great attention deserves the visualization of large data sets. Among the main phases
of the data management’s life cycle, i.e., storage, analytics and visualization, the last one is the most strategic
since it is close to the human perspective. The huge mine of data becomes a gold mine only if tricky and
wise analytics algorithms are executed over the data deluge and, at the same time, the analytic process results
are visualized in an effective, efficient and why not impressive way. Not surprisingly, a plethora of tools and
techniques have emerged in the last years for Big Data visualization, both as part of Data Management Systems
or as software or plugins specifically devoted to the data visualization. Starting from these considerations, this
paper provides a survey of the most used and spread visualization tools and techniques for large data sets,
eventually presenting a synoptic of the main functional and non-functional characteristics of the sur
veyed
tools.
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