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计算机系统应用英文版:2020,29(11):47-56
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高校大数据实验室及实验体系的规划与建设
(1.中国地质大学(武汉) 计算机学院, 武汉 430074;2.中国地质大学(武汉) 实验室与设备管理处, 武汉 430074;3.荆楚理工学院 计算机工程学院, 荆门 448000)
Planning and Construction of Big Data Laboratory and Experiment System in Colleges and Universities
(1.School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430074, China;2.Office of Laboratory and Equipment Management, China University of Geosciences (Wuhan), Wuhan 430074, China;3.School of Computer Engineering, Jingchu University of Technology, Jingmen 448000, China)
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Received:March 31, 2020    Revised:April 24, 2020
中文摘要: 大数据产业已上升至国家战略, 建立大数据实验室及实验课程体系是培养大数据技术人才的必要条件. 本文对大数据的知识体系进行了梳理, 分析了“数据科学与大数据技术”专业和“大数据技术与应用”专业的培养目标及职业定位, 明确了大数据专业的学生应该掌握的关键知识和需要重点培养的专业技能, 介绍了主流的大数据生态系统, 选取了最通用的大数据架构, 提出了在单机环境、单机虚拟化环境、共享大数据集群环境、云计算环境下建设大数据实验室的不同方案, 并设计了大数据实验课程体系及实验项目.
Abstract:Big data industry has risen to the national strategy. The establishment of big data laboratory and experimental curriculum system is necessary for training big data technical personnel. This paper combs the knowledge system of big data, analyzes the training objectives and career orientation of the major of “data science and big data technology” and the major of “big data technology and application”, and clarifies the key knowledge that big data students should master and the professional skills that need to be cultivated, introduces the mainstream big data ecosystem, selects the most general big data architecture, proposes different plans to build big data laboratory in single machine environment, single machine virtualization environment, shared big data cluster environment and cloud computing environment, and designs the big data experiment curriculum system and experiment projects.
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基金项目:中国地质大学(武汉)中央高校教改基金(本科教学工程)(2019G51); 中国地质大学(武汉)实验技术研究项目(SJ-201825)
引用文本:
吴湘宁,彭建怡,罗勋鹤,刘远兴,李敏.高校大数据实验室及实验体系的规划与建设.计算机系统应用,2020,29(11):47-56
WU Xiang-Ning,PENG Jian-Yi,LUO Xun-He,LIU Yuan-Xing,LI Min.Planning and Construction of Big Data Laboratory and Experiment System in Colleges and Universities.COMPUTER SYSTEMS APPLICATIONS,2020,29(11):47-56