摘要
大数据催生了云计算,而如何在云环境中提供高质量的数据服务成为研究的热点。为来华留学研究生开设的全英语"云计算数据服务"课程,是以数据为中心,以实践为导向,设计了进阶式的教学大纲,利用"比较教学法"对SQL与NoSQL、SQL与HiveQL进行比较教学,利用"微课堂"让学生可以自主进行Hadoop部署、中英文MapReduce词频统计、Hive部署和HiveQL实践操作,以掌握云数据服务的基本平台、工具和语言。课程评价体系的改革,保障了教学质量。
Big data has stimulated the development of cloud computing technology, and how to provide high-quality data services in the cloud environment has become a research focus. The full English course "Cloud Data Services" offered to foreign graduate students studying in China is data-centered and practice-oriented, with progressive teaching syllabus designed. The "comparative teaching method" is used to teach SQL and NoSQL, SQL and HiveQL comparatively;the "micro-classroom" is used so that students can deploy Hadoop, fulfill Chinese and English MapReduce word frequency statistics program and deploy HiveQL independently. Therefore students can understand the basic platform, tools and languages of cloud data services. The course evaluation system is reformed to achieve good teaching results.
作者
卢菁
彭敦陆
刘丛
Lu Jing;Peng Dunlu;Liu Cong(School of Optical-electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)
出处
《计算机时代》
2019年第4期63-65,共3页
Computer Era
基金
上海理工大学研究生课程建设项目(2018-2019)
