Investigation of DataViz as a Big Data Visualization Tool

Skender, Fehmi and Manevska, Violeta and Hristoski, Ilija and Rendevski, Nikola (2023) Investigation of DataViz as a Big Data Visualization Tool. In: Advances in Intelligent Manufacturing and Service System Informatics, Proceedings of IMSS 2023, Lecture Notes in Mechanical Engineering. Lecture Notes in Mechanical Engineering (LNME) . Springer Nature Singapore Pte Ltd., Siingapore, Singapore, Singapore, Singapore, pp. 469-478. ISBN 978-981-99-6061-3 (Printed book), 978-981-99-6062-0 (eBook)

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Big Data hype is increasing extremely fast. A few quadrillion bytes of data in various formats are generated almost daily. These data are the subject of extensive data analysis, especially visual data analytics. New applications and technologies for processing and visualizing Big Data are constantly developing and evolving daily. Therefore, being well-informed and up-to-date with Big Data processing and visualization software is of very high importance, yet inevitable in contemporary data analysis, providing better decisions and solutions for both businesses and managers. This research is based on a thorough analysis of reviews of current Big Data visualization tools made by the world’s most popular authorities. The study’s main objective is to describe a new visualization tool based on algorithms, primarily aiming to improve existing Big Data visualization software capabilities. Considering the visualization aspects of Big Data and the previously noted criteria, we present a custom-made application named DataViz, developed using Python. The DataViz application is simple and easy to use since it has an intuitive user interface to serve various users, including those without enhanced computer skills. Regarding the analysis of current visualization tools, the DataViz application considers and implements several important criteria, including Accuracy, Empowering, Releasing, and Succinct. The development of such an application fills the gap among different commercially available Big Data visualization tools delivering enhanced visualization capabilities and optimization. As such, it can provide a solid basis for further improvement and transformation into a fully functional software tool.

Item Type: Book Section
Subjects: Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Divisions: Faculty of Economics
Faculty of Information and Communication Technologies
Depositing User: Prof. Dr. Ilija Hristoski
Date Deposited: 14 Oct 2023 12:54
Last Modified: 14 Oct 2023 12:54

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