Abstract :

The use of edge computing and the Internet of Things are now considered essential subcategories of contemporary data systems. There is a new wave of data science application deployment approaches and management modularity, also referred to as cloud-native which caters for the required distribution to edge devices. The factors under consideration in this paper are emerging cloud-native technologies that include containerization, microservices, and the serverless model in data science workflows for edge computing and the Internet of Things. The above insights reveal the effectiveness of using this approach in supporting organizations for data science to create highly generalized, safe, and efficient data systems that meet the demands of edge working settings. Innovative city solutions, health care, and industrial Internet of Things are the important areas examined, and additional prospects and concerns are introduced.

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Keywords :

Cloud-native, data science, Edge Computing, IoT, Microservices, Serverless Architecture

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