Integrating Machine Learning Technology to Data Analytics for E-Commerce on Cloud

This paper presents the technical challenges faced bye-commerce players and how cloud computing has been designed and developed to handle these technical challenges. Once these technical challenges have been handled, another challenge of building data analytics on cloud platforms come out. This paper also highlights the main reasons of driving organizations to build data analytics on cloud. Besides, this paper exhibits how to integrate machine learning models to the data analytic processes, for making more sophisticated analysis for e-commerce activities. The platform Amazon SageMaker is adopted to illustrate how machine learning models were integrated in the data analytic processes. The public cloud platform Amazon Web Services is used to present how machine learning models were integrated in the practices with a real-life c-commerce case.