Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. (http://en.wikipedia.org/wiki/Big_data)
Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy.
Characteristics
- Volume
- Variety
- Velocity
- Variability
- Complexity
관련자료
- 빅데이터 시대의 통계학 - 빅데이터의 실존과 구원 : 빅데이터시대의 통계학
- What will come next? - 빅데이터, 클라우드, IoT, 머신러닝. 뭐가 이리 많아? 왜 자꾸 나타나? 하용호
- Bio Bigdata 김민경 : Hadoop, Spark 플랫폼하에서 Python으로 생물학 빅데이터 관리하기
Incoming Links #
Related Articles (Article 0) #
Related Codes (Code 1) #
Suggested Pages #
- 0.570 Large language model
- 0.025 Wellcome Trust Sanger Institute
- 0.024 Hyuna Kim
- 0.023 PyCon Korea 2014
- 0.022 Programming language
- 0.021 Pathview
- 0.020 Hadoop Distributed File System
- 0.019 Meta-IDBA
- 0.019 BioHackers
- 0.018 ChIP-PED
- More suggestions...