基于kettle的高职学生行为数据集成研究

Research on Kettle-based Higher Vocational Students'Behavior Data Integration

随着高职院校智慧校园建设的稳步推进,建设了各种各样的信息系统。这些信息系统中存在大量的学生行为数据,通过分析这些学生行为数据可以更快、更精确地获得学生的学习、生活等情况。学生行为数据分散在多个信息系统中,来源多样、结构各异,对它们进行分析需要将其集中,笔者以开源工具kettle为基础,建立数据采集流程实时、快速、准确地从各个信息系统中抽取学生行为数据构建学生行为数据中心库,以供分析。

With the steady progress of the construction of smart campuses in higher vocational colleges,a variety of information systems have been constructed.There are a large number of student behavior data in these information systems.By analyzing these student behavior data,students'Study,life,etc.Student behavior data is scattered in multiple information systems,with diverse sources and different structures.Analyzing them needs to be concentrated.This article is based on the open source tool kettle to establish a data collection process in real time,fast,and accurate The student behavior data is extracted from various information systems to build a student behavior data center library for analysis.