多样性(控制论)
大数据
计算机科学
钥匙(锁)
数据科学
数据建模
价值(数学)
链条(单位)
知识管理
过程管理
数据挖掘
数据库
业务
计算机安全
天文
物理
人工智能
机器学习
作者
H. Gilbert Miller,Peter Mork
出处
期刊:IT Professional
[IEEE Computer Society]
日期:2013-01-01
卷期号:15 (1): 57-59
被引量:278
摘要
With exponential growth in data, enterprises must act to make the most of the vast data landscape-to thoughtfully apply multiple technologies, carefully select key data for specific investigations, and innovatively tailor large integrated datasets to support specific queries and analyses. All these actions will flow from a data value chain-a framework to manage data holistically from capture to decision making and to support a variety of stakeholders and their technologies.
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