基于互联网大数据的招聘数据智能分析平台的设计与实现

针对目前互联网招聘市场的兴起,大数据分析可以有效的帮助用户了解目前最热门的职业以及与职业相关的信息,提出了利用Hadoop-SpringMVC-Vue前后端分离的技术架构,进行技术方案的设计。本文首先分析了互联网大数据的招聘数据智能分析平台的需求;其次应用Hadoop集群搭建大数据平台,SpringMVC框架设计系统的架构,Vue框架设计项目前端;最后介绍了系统的实现。SpringMVC框架能简化互联网大数据的招聘数据智能分析平台的开发,可以有效的降低各层之间的耦合度,提高系统的可维护性。

Design and Implementation of Intelligent Analysis Platform for Recruitment Data Based on Internet Big Data

In view of the rise of the Internet recruitment market, big data analysis can effectively help users understand the most popular occupation and career-related information. This paper proposes a technical framework using Hadoop-Spring Mvc-Vue front-end and back-end separation to design technical solutions. Firstly, this paper analyses the requirement of Intelligent Analysis Platform for Internet Big Data Recruitment Data. Secondly, Hadoop Cluster is used to build Big Data Platform, Spring Mvc Framework is used to design the architecture of the system, and Vue Framework is used to design the front-end of the project. Finally, the realization of the system is introduced. Spring Mvc framework can simplify the development of intelligent analysis platform for recruitment data with large data on the Internet, effectively reduce the coupling between layers, and improve the maintainability of the system.