Open Research Issues and Tools for Visualization and Big Data Analytics
Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri
TL;DR
The paper surveys open research issues and tools for data visualization within big data analytics, arguing that DataViz is essential for turning massive, fast-moving data into interpretable and actionable insights. It surveys definitions, historical foundations, benefits (comprehension, communication, decision support, and innovation), and practical project considerations, including speed, lightweight infrastructure, and cross-functional governance. It then catalogs a broad spectrum of beginner and expert tools, from office-suite extensions to JavaScript libraries and dashboard platforms, highlighting trade-offs for tool choice. The discussion of challenges (human error, oversimplification, reliance, and data overload) and issues (privacy and AI's impact) points to practical guidelines for tool selection, project governance, and future research in scalable, privacy-preserving visualization.
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.