The Construction of Foreign Language Innovation and Entrepreneurship Information Platform Based on Big Data Technology

Xiaoming Deng
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Abstract

Big data technology uses a scientific data integration method to analyze and store data to maximize the value of data. When building a foreign language innovation and entrepreneurship information platform, the big data technology can be used to mine innovation and entrepreneurship information or news through the data mining function, and then use parallel computing to test the performance of the platform. In this regard, this article adopts the Spring MVC framework development platform foreign language innovation and entrepreneurship information platform architecture, and designs multiple functional modules. Since logging in to this platform requires a unique login account and password, each user can only use his own registered account and password to log in. This paper verifies that the foreign language innovation and entrepreneurship information platform designed in this paper has good performance and meets the operating requirements by testing the platform memory, CPU and service responsiveness. In addition, this paper analyzes that in the process of uploading entrepreneurial information, the platform executes smart contracts to encrypt and save the information.
基于大数据技术的外语创新创业信息平台构建
大数据技术采用科学的数据集成方法对数据进行分析和存储,实现数据价值最大化。在搭建外语创新创业信息平台时,可以利用大数据技术通过数据挖掘功能挖掘创新创业信息或新闻,然后利用并行计算对平台的性能进行测试。对此,本文采用了Spring MVC框架开发平台的外语创新创业信息平台架构,并设计了多个功能模块。由于登录本平台需要一个唯一的登录账号和密码,每个用户只能使用自己注册的账号和密码登录。本文通过对平台内存、CPU和服务响应能力的测试,验证了本文设计的外语创新创业信息平台性能良好,满足运行要求。此外,本文分析了平台在上传创业信息的过程中,执行智能合约对信息进行加密和保存。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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