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Open AccessJournal ArticleDOI

Comparative Study of Big data Analytics Tools: R and Tableau

C. Rajeswari, +2 more
- Vol. 263, Iss: 4, pp 042052
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TLDR
This study gives the clear picture of growing data and the tools which can help more effectively, accurately and efficiently.
Abstract
Big data is a huge collection of data from various sources. It can be of any type and tough to be interpreted and analyses hence we need some tool or mechanic that can easily analyses the data and give us some information out of it. Among various interesting tools R and tableau are the tools which deals with the big data analytics also it generates the output in visualization technique i.e., more understandable and presentable. In this paper we are comparing and contrasting the working of both the tools with some big dataset along with the importance and need of the tool in the field of big data analytics. This study gives the clear picture of growing data and the tools which can help more effectively, accurately and efficiently.

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Citations
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References
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TL;DR: This issue introduces four articles, written by influential scientists in the field, covering the most interesting and state-of-the-art topics on Big Data mining, and presents a broad overview of the topic, its current status, controversy, and a forecast to the future.
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Visual Analytics: Scope and Challenges

TL;DR: An overview of visual analytics, its scope and concepts, addresses the most important research challenges and presents use cases from a wide variety of application scenarios is provided.

Big Data and Distributed Data Mining: An Example of Future Networks

TL;DR: The perspective on the analytics of big data generated by sensors and devices on the edge of networks, including distributed frameworks such as the Apache Hadoop framework and Apache* Map Reduce is described.
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