Open AccessResearch and analysis of Enterprise e-commerce marketing system under big data environment
Publication year - 2021
Publication title -
journal of organizational and end user computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.464
H-Index - 32
eISSN - 1546-5012
pISSN - 1546-2234
DOI - 10.4018/joeuc.20211101oa15
Subject(s) - computer science , database , big data , the internet , e commerce , interface (matter) , world wide web , front and back ends , data mining , operating system , bubble , maximum bubble pressure method
As an emerging online shopping method, e-commerce has been widely popular since the popularization of the Internet. Online sales and online shopping have become the trend of modern business development. However, the functionality and performance conditions of the existing platform cannot be closely integrated with the merchant's own business. The purpose of this paper is to study the enterprise e-commerce marketing system based on big data. The system design of this paper adopts SSH framework as the main technology, the database selects HBase database, and the front end combines with Web2.0 technology for the interaction of interface display and operation. The experimental results show that applying big data technology to enterprise e-commerce marketing system has extremely important practical significance. Perform a performance analysis on this system,when the amount of data reaches 4000, the speed of HBase is 10.486s, and the query time of Mysql is 50.184s. It can be seen that the Hbase database query speed is much faster than the Mysql database query speed.