摘要
该文研究了大数据技术课程实验教学环境的构建。在综合考虑已有实验设备和各种影响因素的条件下,提出在Linux虚拟机下安装Hadoop集群,并安装用Scala编程语言编写的Spark计算框架,从而实现Hadoop+Spark的大数据技术实验教学环境构建方案。该实验环境有助于提升大数据技术课程的理论教学效果,有助于学生更好地掌握分析和处理大数据的关键技术,从而有助于达到培养创新型人才的目标。
The construction of experimental teaching environment is studied for the Big Data Technology course. Considering the existing experimental equipment and various influencing factors, this paper proposes to install Hadoop cluster under Linux virtual machine and Spark computing framework written in Scala programming language, realizing the construction of Hadoop+Spark experimental teaching environment for the big data technology. This experimental environment is helpful to improve the theoretical teaching effect of the Big Data Technology course, which helps students to better grasp the key technology of analyzing and processing big data and has achieved the goal of training innovative talents.
作者
杨丹
姜华
张玉军
赵骥
YANG Dan;JIANG Hua;ZHANG Yujun;ZHAO Ji(School of Computer and Software Engineering,University of Science and Technology Liaoning,Anshan 114051,China)
出处
《实验技术与管理》
CAS
北大核心
2019年第11期193-196,共4页
Experimental Technology and Management
基金
教育部“数启科教智见未来”产教联合基金项目(2017B00007)
教育部产学合作协同育人项目(201702124017,201702124008)
辽宁省创新创业教育改革试点专业项目(辽教函[2017]838号)
辽宁省普通本科高等学校向应用型转变示范专业项目(辽教函[2017]779号)
辽宁省普通高等教育本科教学改革研究项目(辽教函[2018]471号)
辽宁科技大学研究生教育改革与创新项目(2016YJSCX20)