Design and Implementation of an Industry Data Analysis Model Based on Cloud Computing

Cloud computing technology can effectively solve resource allocation problems that traditional technologies cannot solve. In order to better analyze the development status of Hainan Free Trade Port industry, this paper unifies the management of Hainan Free Trade Port industry data, establishes an industry data cluster, uses a Map-Reduce model to map, classify, preprocess, and then dynamically train using a BP network. Finally, the weight is used to aggregate the output results. This paper proposes research on the construction of Hainan Free Trade Port industry data analysis model based on cloud computing. Compared to traditional data analysis models, the proposed model achieves dynamic adjustment of computing resources during network training, effectively shortens training cycles, optimizes and improves BP network structure, effectively improves overall operational efficiency, and provides valuable reference for data analysis work.