大数据 ›› 2016, Vol. 2 ›› Issue (5): 107-114.doi: 10.11959/j.issn.2096-0271.2016059

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大数据人才培养的基础条件初探

朱扬勇1,2,熊贇1,2   

  1. 1 复旦大学计算机科学技术学院,上海 200433
    2 上海市数据科学重点实验室,上海 200433
  • 出版日期:2016-09-20 发布日期:2018-02-08
  • 基金资助:
    上海市科技发展基金资助项目

On prerequisites for cultivating big data talents

Yangyong ZHU1,2,Yun XIONG1,2   

  1. 1 School of Computer Science,Fudan University,Shanghai 200433,China
    2 Shanghai Key Lab of Data Science,Shanghai 200433,China
  • Online:2016-09-20 Published:2018-02-08
  • Supported by:
    Shanghai Science and Technology Development Fund

摘要:

人才短缺是发展大数据的主要障碍,越来越多的大学启动了大数据人才培养计划。大数据人才培养的基础条件有哪些?首先要有师资,但这是一个矛盾的基础条件,人才短缺意味着师资更短缺;其次要有数据,且是“大”的数据,没有数据的人才培养是纸上谈兵;有了“大”数据,就需要相应的计算条件。探索了大数据人才培养所需的师资、数据和计算条件问题,提出超学科创新培养模式解决师资条件问题、建立大数据试验场解决数据和计算条件问题。

关键词: 大数据, 人才培养, 数据分析师, 数据科学家

Abstract:

The shortage of big data talents becomes a global concern,which restricts the development of big data.Cultivating big data talents has been paid attention widely and increasing universities have launched big data talents training plans.It is important and necessary to discuss the prerequisites for cultivating big data talents,including qualified teachers,data resources,computing capabilities.Building qualified teachers team is the first element.It is impossible to discuss cultivating talents if there is no qualified teacher.However,this is a contradiction,because the shortage of big data talents means the shortage of the qualified teachers for big data training.The second one is data resource,especially big data.If there is no data,the big data talents training will not make sense.Correspondingly,the third one is computation capability for big data.Three main prerequisites for big data talents training were discussed including qualified teachers,data resources and computation capabilities.Two solutions were presented:one was to develop an innovation talents training pattern,namely transdisciplinary,for the shortage of qualified teachers,the other was to establish big data arena for innovation and advance to supply the data resource and computation capability.

Key words: big data, talents training, data analyst, data scientist

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