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

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

Linze Li, Jun Zhang
Copyright: © 2021 |Pages: 19
DOI: 10.4018/JOEUC.20211101.oa15
Article PDF Download
Open access articles are freely available for download

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.
Article Preview
Top

1. Introduction

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) . Traditional trade refers to the way of trading through offline, using telephone, fax, mail and face-to-face meetings to achieve a transaction between two people or two companies (Lv et al., 2015). Compared with e-commerce, traditional trade has shortcomings such as long trading cycle, high cost, asymmetric information, manpower and material resources, and narrow coverage (Obermeyer & Emanuel, 2016). Therefore, many companies have gradually shifted their business from traditional business to e-commerce. Since 2000, China's e-commerce has entered a period of vigorous development. The development of Taobao basically represents the development process of e-commerce in China (Andreu-Perez et al., 2015). Cross-border e-commerce is an important part of e-commerce (Wei & Ho, 2019). In a narrow sense, cross-border e-commerce is basically equivalent to cross-border retail, browsing through computers, having a satisfactory product after placing an order, electronic payment through the network, sellers through express, special line or postal registration packets way to carry out parcel transportation (Stevens, 2016). Broadly speaking, cross-border e-commerce is basically equivalent to foreign trade e-commerce, through online chat, electronic payment and other technical methods, many people in traditional export trade can meet with people to deal with issues such as product display, price negotiation, and commodities, the transaction and the payment link of the final order are realized electronically, and then the goods are transported by means of cross-entry logistics to achieve the purpose of the transaction (Wang et al., 2016). From 2005 to 2013, China's cross-border e-commerce has achieved vigorous development. In addition to the financial crisis in 2009, it has achieved substantial growth in other years, earning huge foreign exchange for China (Aanen et al., 2015).

Complete Article List

Search this Journal:
Reset
Volume 36: 1 Issue (2024)
Volume 35: 3 Issues (2023)
Volume 34: 10 Issues (2022)
Volume 33: 6 Issues (2021)
Volume 32: 4 Issues (2020)
Volume 31: 4 Issues (2019)
Volume 30: 4 Issues (2018)
Volume 29: 4 Issues (2017)
Volume 28: 4 Issues (2016)
Volume 27: 4 Issues (2015)
Volume 26: 4 Issues (2014)
Volume 25: 4 Issues (2013)
Volume 24: 4 Issues (2012)
Volume 23: 4 Issues (2011)
Volume 22: 4 Issues (2010)
Volume 21: 4 Issues (2009)
Volume 20: 4 Issues (2008)
Volume 19: 4 Issues (2007)
Volume 18: 4 Issues (2006)
Volume 17: 4 Issues (2005)
Volume 16: 4 Issues (2004)
Volume 15: 4 Issues (2003)
Volume 14: 4 Issues (2002)
Volume 13: 4 Issues (2001)
Volume 12: 4 Issues (2000)
Volume 11: 4 Issues (1999)
Volume 10: 4 Issues (1998)
Volume 9: 4 Issues (1997)
Volume 8: 4 Issues (1996)
Volume 7: 4 Issues (1995)
Volume 6: 4 Issues (1994)
Volume 5: 4 Issues (1993)
Volume 4: 4 Issues (1992)
Volume 3: 4 Issues (1991)
Volume 2: 4 Issues (1990)
Volume 1: 3 Issues (1989)
View Complete Journal Contents Listing