Research and Analysis of an Enterprise E-Commerce Marketing System Under the Big Data Environment

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 an enterprise e-commerce marketing system has extremely important practical significance. A performance analysis is performed on this system when the amount of data reaches 4,000, and the speed of HBase is 10.486s compared to the query time of Mysql at 50.184s. It can be seen that the HBase database query speed is much faster than the Mysql database query speed.