An exploratory study on visualizing big data in the internetof things.

As the tech industry continues to embrace the Internet of Things (IoT), a multitude of wireless devices are being developed to track various infrastructures. These devices generate vast amounts of statistics from domains such as medicine, supply chain, power, agricultural analytics or intelligence, BAS (including HVAC) and similar data-producing industries [1]. To effectively utilize this data and facilitate strategic decision-making, big data techniques are crucial in IoT processes. They serve as valuable instruments for real-time data visualization, enabling the extraction of useful information. This paper aims to provide an extensive analysis of the benefits of big data visualization on IoT approaches, related applications/ softwares and techniques. With the focus on visual analytics, our work situates data visualization as a part of the visual analysis phase. It is a review of the available tools for data visualization and provides applicatory guidelines for them, taking into account the specific requirements of each individual case. In spite of big data methods being applied across various IoT domains, the paper delves into the challenges of visualization and the influence of big data on shaping the IoT landscape. This article includes a studyof existing works to establish its foundation, wherein, in spite of not presenting any specific findings, it presents an overview of the progress made thus far in big data visualization along with application of deep learning in the sphere of IoT. The paper also highlights big data's prominent role in IoT visualization, with the focus on illustrating the key concepts of real-time visualizationof big data. [ABSTRACT FROM AUTHOR]