Research Article
Research on the Construction of E-commerce Data Analysis System Based on Hadoop
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322654, author={Yu Chen and Yi Zhou}, title={Research on the Construction of E-commerce Data Analysis System Based on Hadoop}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={hadoop; e-commerce; data analysis; big data}, doi={10.4108/eai.17-6-2022.2322654} }- Yu Chen
Yi Zhou
Year: 2022
Research on the Construction of E-commerce Data Analysis System Based on Hadoop
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322654
Abstract
In this paper, the author uses Hadoop ecosystem for data processing, POWER BI for data visualization, and Javaweb technology to develop an e-commerce data analysis system. This system develops four functional modules: traffic data, conversion rate data, user data and order data to analyze e-commerce data, which can effectively help enterprises discover the laws of consumers visiting websites, improve website design or marketing strategies according to these laws, optimize and adjust the operation focus of users' regions and consumer groups, optimize consumers' after-sales service, and then achieve the goal of helping enterprises obtain more ideal economic benefits. Under the background of economic digital era, it is necessary to enhance the competitiveness of small and medium-sized e-commerce enterprises in the e-commerce market, contribute to the GDP growth of China's e-commerce industry, improve people's livelihood, and thus promote the prosperity and development of China's market economy.
