基于数据流程自动化的岗位分析研究

Taizhi Lv, Jun Zhang, Chenyong He
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引用次数: 2

摘要

人才供需的结构性矛盾是高职院校需要解决的关键问题。招聘网站提供海量的招聘数据。招聘数据分析对于推动人才培养模式的改革与创新具有重要的现实意义。基于大数据技术,采用Redis和Scrapy技术实现帖子信息的分布式实时增量采集。抓取的帖子信息存储在HBase数据库中。通过spark平台对帖子数据进行分析,分析结果存储在MySQL数据库中。这些图表由Flask框架和Echarts库显示。该体系紧密联系当前高职人才培养的痛点,将岗位所需技能与学校开设的课程紧密结合。有利于提高人才培养质量,培养更多高素质技能型人才。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on posts analysis based on data process automation
The structural contradiction between talent supply and demand is the key problem to be solved in higher vocational colleges. Recruitment website provides massive recruitment data. The analysis of recruitment data has important practical significance for promoting the reform and innovation of talent training mode. Based on big data technology, the distributed real-time incremental collection of posts information is realized by Redis and Scrapy technology. The crawled posts information is stored in HBase database. The posts data is analyzed by spark platform, and the analysis result is stored in MySQL database. The charts are displayed by Flask framework and Echarts library. The system is closely linked to the pain spot of the current higher vocational talent training, and it is closely combined the skills required by the post with the courses offered by the school. It is helpful to improve the quality of talent training and cultivate more high-quality skilled talents.
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