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大数据背景下高校信息化建设的思考 被引量:2

Thoughts on the construction of university informatization under the background of big data
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摘要 以近年来快速发展的大数据为背景,介绍大数据的内涵及关键技术,结合高校对数据资源、信息化建设的需求,就未来高校信息化、数据化发展趋势,分析高校建立大数据和基于大数据面向全校师生提供在线教学、科学化管理、个性化服务的综合服务平台遇到的问题、挑战和机遇。并结合大数据技术、云技术、物联网等对高校信息化建设的影响提出初步探讨。 Take the rapid development of large data in recent years as the background, Introduce the connotation and key technology of big data, Combined with the demand of data resources and information construction, the future development trend of university informatization and data-orienting, Analyze the problem、challenges and opportunities that building the Big data and providing online teaching, scientific management Based on big data for teachers and students, personalized service integrated service platform. Combined with the impact of the construction of university informatization that dued to big data technology, cloud technology, Internet of things and other information.
作者 李燕萍
出处 《漳州职业技术学院学报》 2016年第2期85-88,共4页 Journal of Zhangzhou Institute of Technology
关键词 大数据 高校信息化 数据化 big data information construction digitization
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  • 1李国杰.大数据研究的科学价值[J].中国计算机学会通讯,2012,8(9):8-15.
  • 2马帅,李建欣,胡春明.大数据科学与工程的挑战与思考[J].中国计算机学会通讯,2012(9):22- 30.
  • 3McKinsey Global Institute . Big data: The next frontier forinnovation, competition and productivity [ EB/OL] . [2012 - 11 -07 ] . http: //www . mckinsey. com/insights/mgi/research/technology-and-innovation/big-data-the-next-frontier-for-innovation.
  • 4中华人民共和国科学技术部.国家高技术研究发展计划(“863”计划)信息技术领域面向信息一物理融合的系统平台”主题项目申请指南[EB/0L]. [2012- 11-08] .http://www. most. gov. cn/tztg/201010/P020101020603081404408. pdf.
  • 5The White House. Obama administration unveils “big data”initiative: Announces $ 200 million in new R & D investments[EB/OL] . [2012- 11 - 04] . http://www.whitehouse.gov/sites/default/files/microsites/ostp/big-data-press-release. pdf.
  • 6The White House. Big data across the federal government [R/OL] . [2012 - 11 - 05] .http://www.whitehouse.gov/sites/default/files/microsites/ostp/big-data-fact-sheet-fmal. pdf.
  • 7Kamil Bajda - Pawlikowski, Daniel J Abadi, Avi Silberschatz,et al. Efficient processing of data warehousing queries in a splitexecution environment[C] .Proceedings of the 2011 ACM SIGMODInternational Conference on Management of Data. New York,USA, 2011: 1165- 1176.
  • 8Wang H J, Qin X P, Zhang Y S, et al.Linear DB : A relationalapproach to make data warehouse scale like MapReduce[C] .In:Yu J X, Kim M H, Unland R, eds . Proc . of the DASFAA .Hong Kong: Springer - Verlag, 2011:306- 320.
  • 9Dumbo [OL] . [2012 - 11- 10] . http: //projects. dumbotics .com/dumbo/.
  • 10Chris Petersen. Big data and the London Olympics cybersecuritychallenge[EB/OL] .[2012- 11 - 11] . http://www. technewsworld. com/story/75754. html.

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