摘 要：在信息化高速发展的时代，上海市中职计算机类课程开设与时俱进，各中职校计算机类教学资源日新月异，但由于缺乏统一资源库，每个学校的教学资源包括教学案例、音视频等数据不能共享，只能单独存放在独立数据库里。研究旨在分析Hadoop+GPU 的大数据平台架构可行性应用，即集中存储和挖掘上海市中职计算机课程资源。此构架旨在汇总并挖掘中职计算机类课程资源，做到资源共享、教学资源充分利用，可以多层次多维度建立挖掘联系。
关键词：中职计算机；Hadoop+GPU；大数据平台架构；可行性应用
中图分类号：TP311.13 文献标识码：A 文章编号：2096-4706（2020）01-0066-03
Feasibility Analysis of Hadoop+GPU Big Data Platform Architecture
——Apply to Shanghai Secondary Vocational Computer Course Resources
ZENG Zhen
（Information Art Teaching Department of Shanghai Commercial Accounting School，Shanghai 200011，China）
Abstract：In the era of rapid development of information technology，computer courses in secondary vocational schools in Shanghai are advancing with the times，and computer teaching resources in each vocational school are changing with each passing day.However，due to the lack of a unified resource database，the teaching resources of each school include teaching cases，audio and video data cannot be shared and can only be stored in an independent database. The research aims to analyze the feasibility application of the big data platform architecture of Hadoop+GPU，that is，to centrally store and mine the resources of computer courses in secondary vocational schools in Shanghai. This framework aims to aggregate and mine secondary computer course resources，share resources，make full use of teaching resources，and establish mining connections at multiple levels and dimensions.
Keywords：secondary vocational computer；Hadoop+GPU；big data platform architecture；feasibility application
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作者简介：曾贞（1982.06-），女，汉族，江西玉山人，讲师，硕士，研究方向：新媒体大数据。