首页|基于大数据的线上电商系统设计

基于大数据的线上电商系统设计

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该系统通过大数据社交媒体平台向消费者传递商品信息,结合社交功能与营销手段,提供便捷的在线购物体验.前端采用HTML和CSS框架优化网页设计,后端基于PHP处理数据,与MySQL数据库进行交互,采用B/S架构实现可视化开发,支持社交账号登录.当前这些技术相对成熟,有利于系统的维护与扩展.同时,系统具备较高的可维护性与可移植性.通过使用数据库连接池技术,有效避免了因连接数过多导致系统崩溃,提升了大数据访问效率.
Design of Online E-Commerce System Based on Big Data
This system delivers product information to consumers through Big Data social media platforms,combining social functions and marketing strategies to provide convenient online shopping experience.The front end uses HTML and CSS frameworks to optimize Web design,and the back end is based on PHP to process data and interacts with the MySQL database,and it uses the B/S architecture to realize visual development,so as to support social account login.Currently,these technologies are relatively mature,which are beneficial for the maintenance and expansion of the system.At the same time,the system has high maintainability and portability.By using database connection pooling technology,it effectively avoids system crashes caused by excessive connection numbers and improves the efficiency of Big Data access.

E-Commerce platformonline shoppingMySQL

刘国方、郝萍萍

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山东华宇工学院,山东 德州 253034

电商平台 在线购物 MySQL

2024

现代信息科技
广东省电子学会

现代信息科技

ISSN:2096-4706
年,卷(期):2024.8(24)