大数据有多大? 一项关于科学和工业数据生产,存储和流媒体的综合调查
Luca Clissa1,2, Mario Lassnig3, Lorenzo Rinaldi1,2
1Department of Physics and Astronomy, University of Bologna, Bologna, Italy.
Frontiers in big data
|November 6, 2023
概括
由于有限的公共数据,估计大数据生成是很困难的. 本调查提供了领先组织每年数据生产的比较概述,突出了相对规模.
科学领域:
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
- 信息科学 信息科学 信息科学
背景情况:
- 数据生成的指数增长在量化数据量方面带来了挑战.
- 有限的公共数据阻碍了对大数据实体的比较分析.
- 各个行业的不同利益相关者对数据激增有所贡献.
研究的目的:
- 提供领先的公共和私人组织对年度数据生成的全面视角.
- 提供对主要大数据参与者的比较规模的见解.
- 绘制数据生产来源和数据流的地图.
主要方法:
- 利用一系列在线来源进行数据估计.
- 基于有意义的个人数据生产指标进行估计.
- 使用可信的单位尺寸进行计算.
主要成果:
- 相对数据生成量的视觉表示.
- 对大数据参与者的规模进行比较分析.
- 数据来源和生产流的识别.
结论:
- 该研究提供了大数据生成的可扩展概述.
- 为了解数据生成的规模提供了一个基准.
- 便于进行比较分析,尽管数据稀缺.
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