Abstract
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.
Highlights
The purpose of this paper is to study the enterprise e-commerce marketing system based on big data
The experimental results show that applying big data technology to an enterprise e-commerce marketing system has extremely important practical significance
It can be seen that the HBase database query speed is much faster than the Mysql database query speed
Summary
With the popularity and development of Internet technology, people are gradually accustomed to online shopping, from China’s Taobao to Jingdong, from foreign eBay to Amazon, the development of e-commerce has already demonstrated the fact that people around the world are shopping online (Zaharia et al, 2016). The companies engaged in e-commerce are mainly small and medium-sized enterprises, while the practitioners in the company are mainly below college education level, and their work is more about product uploading, pre-sales and after-sales customer service, packaging and delivery,without introducing some advanced technologies into e-commerce (Kim, 2019) The latest technologies, such as big data and cloud computing, are still in the research stage due to their recent launch, and are rarely applied in the emerging e-commerce field (Qiu et al, 2015). Based on a sample of 323 respondents, they performed a logistic regression analysis They found that technically perceptible differences, that is, perceived differences in end-user devices and communication networks, have a significant positive impact on the transfer of usage from online to mobile channels. The experimental results show that it only takes 10.486s to query 4000 pieces of data with HBase database
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