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NTIS 바로가기대한산업공학회지 = Journal of the Korean Institute of Industrial Engineers, v.42 no.2, 2016년, pp.112 - 121
한경진 (성균관대학교 기술경영학과) , 조근태 (성균관대학교 기술경영학과)
This paper focuses on competencies of data scientists and behavioral intention that affect big data analysis performance. This experiment examined nine core factors required by data scientists. In order to investigate this, we conducted a survey to gather data from 103 data scientists who participat...
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
데이터 사이언티스트란 무엇인가? | 데이터 사이언티스트란 “빅데이터에 대한 이론적 지식과 분석 기술에 대한 숙련을 바탕으로 통찰력, 전달력, 협동 능력을 발휘할 수 있는 전문 인력”이다(Manyika, 2011). 따라서 빅데이터의 가치를 충분히 이끌어내기 위해서는 데이터 이면의 의미를 해석해 내는 인재, 즉 데이터 사이언티스트의 역할이 중요해지고 있다. | |
빅데이터란 무엇인가? | 빅데이터란 “기존의 컴퓨팅 기술로는 저장, 관리, 분석이 불가능할 정도로 큰 데이터의 집합 및 관련 기술과 인력(Manyika, 2011)”을 의미한다. 최근에는 빅데이터 플랫폼, 분석기법, 관련 도구까지 포괄하는 용어로 변화하고 있다. | |
데이터 사이언티스트가 기존의 데이터 분석가와의 차이점은 무엇인가? | 우수한 데이터 사이언티스트는 다방면에 걸쳐 복합적이고 고도화된 지식과 능력을 갖추는 것이 필수적이다. 특히, 여러 분야에 걸친 전문성과 이를 복합적으로 활용하기 위한 도구인 수학, 통계학, 컴퓨터 공학 등 다양한 분야에 걸친 심도 있는 지식이 필수적이다. 이는 기존에 조직에서 데이터 분석을 수행하던 데이터 분석가(Data Analyst)와 차이가 있으며, 이들과 비교하여 한층 높은 수준의 전문성과 다양성을 요구받고 있다(Rahul, 2012). |
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