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.

翻译：数字增长的新时代已席卷所有领域。这种技术演进影响了数据流，过去十年间数据流经历了快速扩张，使得传统数据处理方式无法跟上海量数据的快速流动。在此背景下，实施大数据分析系统变得至关重要，以使大数据更具相关性和价值。因此，随着这些新机遇的出现，处理极高数据量的新问题也随之产生，迫使企业寻求专业的大数据解决方案。这些方案基于处理海量信息的技术，以促进决策制定。在这些方案中，数据可视化使得大数据更易于理解，能够提供直观的图示，现已普及至所有用户。本文基于大数据可视化项目的特征、优势、挑战及问题对其进行了探讨。此外，该研究还为初学者及经验丰富的用户提供了涌现出的工具。