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Small data
Small data is data that is small enough size for human comprehension.〔http://www.theguardian.com/news/datablog/2013/apr/25/forget-big-data-small-data-revolution〕〔http://jwork.org/main/node/18〕 About one quarter of the human brain is involved in visual processing, and the only way to comprehend Big data is to reduce the data into small, visually-appealing objects representing various aspects of large data sets or data "features" (such as histogram describing data projections and relationships, charts, scatter plots) that can be understood by humans. The term "big data" is about machines and "small data" is about people.〔http://www.eweek.com/enterprise-apps/small-data-analysis-the-next-big-thing-advocates-assert.html/〕 A formal definition of small data has also been proposed by former analyst and current Actuate VP of innovation Allen Bonde: "Small data connects people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged – often visually – to be accessible, understandable, and actionable for everyday tasks."〔http://smalldatagroup.com/2013/10/18/defining-small-data/〕 Bonde has also written extensively about the topic for publications such as Forbes, Direct Marketing News, and CMO.com. 〔http://www.forbes.com/sites/markfidelman/2012/10/30/these-smart-social-apps-bring-big-data-down-to-size/〕〔http://www.dmnews.com/why-small-data-is-the-next-big-thing-for-marketers/article/308376/〕〔http://www.cmo.com/content/cmo-com/home/articles/2013/11/20/think_small_time_for.html〕 ==References==
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Small data」の詳細全文を読む
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