Abstract
This article starts with the analysis of the existing electronic commerce system, summarizes its characteristics, and analyzes and solves its existing problems. Firstly, the characteristics of the relational database My Structured Query Language (MySQL) and the distributed database HBase are analyzed, their respective advantages and disadvantages are summarized, and the advantages and disadvantages of each are taken into account when storing data. My SQL is used to store structured business data in the system, while HBase is used to store unstructured data such as pictures. These two storage mechanisms together constitute a data storage subsystem. Secondly, considering the large amount of data in the e-commerce system and the complex calculation of the data mining algorithm, this paper uses MapReduce to realize the parallelization of the data mining algorithm and builds a Hadoop-based commodity recommendation subsystem on this basis. We use JavaEE technology to design a full-featured web mall system. Finally, based on the impact of cloud computing, mobile e-commerce is analyzed, including relevant theories, service mode, architecture, core technology, and the application in e-commerce, which can realize e-commerce precision marketing, find the optimal path of logistics, and take effective security measures to avoid transaction risks. This method can avoid the disadvantages of the traditional e-commerce, where large-scale data cannot be processed in a timely manner, realize the value of mining data behind, and realize the precision marketing of e-commerce enterprises.
Highlights
Academic Editor: Zhihan Lv is article starts with the analysis of the existing electronic commerce system, summarizes its characteristics, and analyzes and solves its existing problems
The characteristics of the relational database My Structured Query Language (MySQL) and the distributed database HBase are analyzed, their respective advantages and disadvantages are summarized, and the advantages and disadvantages of each are taken into account when storing data
Based on the impact of cloud computing, mobile e-commerce is analyzed, including relevant theories, service mode, architecture, core technology, and the application in e-commerce, which can realize e-commerce precision marketing, find the optimal path of logistics, and take effective security measures to avoid transaction risks. is method can avoid the disadvantages of the traditional e-commerce, where large-scale data cannot be processed in a timely manner, realize the value of mining data behind, and realize the precision marketing of e-commerce enterprises
Summary
Rongrui Yu ,1,2 Chunqiong Wu ,1,2 Bingwen Yan, Baoqin Yu, Xiukao Zhou, Yanliang Yu, and Na Chen. Is paper combines the advantages of cloud computing for data storage and processing and applies it to data analysis and processing in the mobile e-commerce system, so as to avoid the disadvantages that large-scale data of traditional e-commerce cannot be processed in a timely manner. The design and development of electronic commerce system based on cloud computing technology should meet the demand of the following functions:. Image storage system is mainly used to store image data in the electronic commerce system, when the design requirements of HBase table structure on the premise meet the demand of system functions, which should not affect its performance, and when the image number is required after reaching a certain scale, it can still ensure that the image access time is within the acceptable waiting time range. In order to meet the needs of the system for diversified operation of key data, as well as the requirements of mass image data storage
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