In view of the massive complex,heterogeneous characteristic in college teaching resources,we designed and realized the cloud teaching resources platform based on Hadoop through the integration of HBase and Mysql two types of databases,and use MapReduce computing model to analyze the massive log. Cloud teaching resources platform can improve the speed and accuracy of resource queries,storage,and improve the resource manager's work efficiency, comparing with traditional management platform,the platform has higher reliability and stability.%针对近年来高校教学资源呈现海量、复杂、异构等特点,通过融合HBase和MySQL两类数据库,设计并实现了基于Hadoop的云教学资源平台,并运用MapReduce计算模型对海量日志进行分析.云教学资源平台能够提高资源查询、存储的速度及准确性,提升资源管理者的工作效率,与传统教学资源管理平台相比,其具有更高的可靠性和稳定性.
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