Analytical Review of Data Visualization Methods in Application to Big Data

Evgeniy Yur’Evich Gorodov,Vasiliy Vasil’Evich Gubarev

doi:10.1155/2013/969458

Evgeniy Yur’Evich Gorodov, Vasiliy Vasil’Evich Gubarev

Open Access

https://doi.org/10.1155/2013/969458

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Abstract

This paper describes the term Big Data in aspects of data representation and visualization. There are some specific problems in Big Data visualization, so there are definitions for these problems and a set of approaches to avoid them. Also, we make a review of existing methods for data visualization in application to Big Data and taking into account the described problems. Summarizing the result, we have provided a classification of visualization methods in application to Big Data.

Highlights

The customers need to process secondary data, which is not directly connected to the customers business which has lead to the phenomenon called Big Data
To make a decision for classification to one of described Big Data classes, method needs to be analyzed from the following points: applicability for a large volume data, possibility of data visualization, presented in different data formats, speed, and performance of data presentation
As a result of that part of the article, it can be said that Big Data visualization results in analysis quality decreasement, which underlines the topicality of this paper

Summary

Introduction

The customers need to process secondary data, which is not directly connected to the customers business which has lead to the phenomenon called Big Data. Under the term of Big Data we understand a large data set, with volume growing exponentially. This data set can be too large, too “raw”, or too unstructured for classical data processing methods, used in relational data bases theory. It is used to provide the following Big Data properties in different analytical literature sources: large volume of data (Volume), multiformat data presentation (Variety), and high data processing speed (Velocity). To make a decision for classification to one of described Big Data classes, method needs to be analyzed from the following points: applicability for a large volume data, possibility of data visualization, presented in different data formats, speed, and performance of data presentation

Big Data Visualization Problems

Big Data Visualization Approaches

Big Data Visualization Methods

Method disadvantages:

Results

Conclusion