Open Research Issues and Tools for Visualization and Big Data Analytics

TL;DR

This paper discusses the challenges and tools related to big data visualization, emphasizing its importance in making large data sets understandable and accessible for decision-making across various fields.

Contribution

It provides an analysis of big data visualization projects, highlighting their characteristics, benefits, challenges, and introduces tools for both beginners and experienced users.

Findings

Big data visualization enhances data interpretability.

Tools are available for users at different expertise levels.

Big data processing requires specialized solutions.

Abstract

The new age of digital growth has marked all fields. This technological evolution has impacted data flows which have witnessed a rapid expansion over the last decade that makes the data traditional processing unable to catch up with the rapid flow of massive data. In this context, the implementation of a big data analytics system becomes crucial to make big data more relevant and valuable. Therefore, with these new opportunities appear new issues of processing very high data volumes requiring companies to look for big data-specialized solutions. These solutions are based on techniques to process these masses of information to facilitate decision-making. Among these solutions, we find data visualization which makes big data more intelligible allowing accurate illustrations that have become accessible to all. This paper examines the big data visualization project based on its characteristics, benefits, challenges and issues. The project, also, resulted in the provision of tools surging for beginners as well as well as experienced users.