Abstracto

Co-innovative training of big data analysis applied talents

Yan Gu


Based on such research methods as study of literature, qualitative analysis, interdisciplinary research and systematic study, this article focused on the cultivation of collaborative innovation among application-orientated talents of big data analysis. The purpose is to make big data play a large role in industrial development of the future, cultivate talents of big data analysis the government and enterprises need, and improve the social development. On the basis of analyzing the opportunities and challenges that may appear in talentsÂ’ cultivation, this article concluded that the collaborative innovation cultivation of application-orientated talents of big data analysis consisted of 6 parts, including the main bodies, internal operation mechanisms, the relationship between the main bodies, innovation policies, domestic environment and international environment. Then, countermeasures were proposed as follows: first, establish a university-leading collaborative innovation mechanism of application-oriented talents of big data analysis; second, build a platform for this purpose; finally, establish practice bases for the talents. The purpose is to train application-orientated talents into having the abilities of big data analysis and technological innovation and to meet the needs of economic and social development in an era of big data.


Indexado en

  • CAS
  • Google Académico
  • Abrir puerta J
  • Infraestructura Nacional del Conocimiento de China (CNKI)
  • CiteFactor
  • Cosmos SI
  • Directorio de indexación de revistas de investigación (DRJI)
  • Laboratorios secretos de motores de búsqueda
  • Pub Europeo
  • ICMJE

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