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Integration of Data Science and Cloud-Based IoT Networks: Techniques and Applications
Abstract
In contemporary times, data science has made significant strides across various commercial domains, spanning business, finance, space science, healthcare, telecommunications, and the Internet of Things (IoT). The IoT emerges as a pivotal platform, orchestrating the convergence of people, processes, data, and physical objects to enhance our daily lives.. In light of these considerations, this chapter explores diverse frameworks for synchronized data processing, leveraging the strengths of various platforms. Numerous challenges impede the seamless integration of cloud computing, IoT, and data science collaboration. The integration of cloud and IoT offers a promising avenue to surmount these challenges, harnessing the wealth of data resources available in the cloud. This chapter presents a comprehensive overview of the technologies involved in merging data science with cloud-based IoT; this would expand the cloud capabilities and scope to scale for higher data storage and accessibility along with examining their advantages and confronting the associated challenges.
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