지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.8
- 수록면
- 50 - 55 (6page)
이용수
초록· 키워드
오류제보하기
Big data is a technology that processes a large amount of structured and unstructured data sets that are beyond the ability to manage data with commonly used data analysis methods. According to the amount and type of data is showing explosive changes, and the amount and type of data in the industry are also increasing remarkably. Now, how to extract meaningful information from the exploding data from those of data bunches and use it as valuable information is becoming a social task. In the existing traditional data, individual data itself was important, but big data must deal with a large amount of data and judge it from an overall perspective, so innovation of the existing data judgment method is needed. Big data has a common feature that can be called “3V”: data volume, variety and velocity, because it is significantly different from existing traditional data handling method. Since the nature of big data has changed to the extent that it is impossible to smoothly collect and process it with existing technologies, various advanced big data processing technologies are needed to extract value. Big data is not a single technical item, but comprehensive technology in which various underlying technologies are fused.
목차
ABSTRACT
Ⅰ. 서론
Ⅱ. 빅 데이터 개념
Ⅲ. 빅 데이터 특징 및 기술
Ⅳ. 빅 데이터 처리 및 분석
V. 보건의료분야에서의 빅 데이터
Ⅵ. 항공 분야에서의 빅 데이터 활용
Ⅶ. 빅 데이터 분석의 문제점
Ⅷ. 결론
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2022-558-001689891