LEVERAGING DATA SCIENCE AND BIG DATA IN IoT APPLICATIONS: A COMPREHENSIVE REVIEW OF TECHNOLOGIES, ARCHITECTURES AND CHALLENGES

The proper fusion of IoT devices data with the utilization of Data Science and Big Data is nothing but the demand of the hour.This thorough review paper unveils all the technologies, architectures, and challenges at this crucial intersection.The review not only discusses these topics but also emphasizes the main points of data ingestion, distributed storage, real time stream processing and application oriented machine learning models being developed for smart cities and industrial automation.Furthermore, the paper examines the competition between cloud and edge computing technologies aimed at building fast and efficient analytics.To illustrate the rivalry between these two strategies the paper points out the main problems of data heterogeneity, security, privacy and power limitations.The review keeps itself well acquainted with the latest trends of federated learning and digital twins that are not only very much beneficial for researchers but also for practitioners in the field of smart decision making with the IoT technology.