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Small data is data that is 'small' enough … Small data is data that is 'small' enough for human comprehension. It is data in a volume and format that makes it accessible, informative and actionable. The term "big data" is about machines and "small data" is about people. This is to say that eyewitness observations or five pieces of related data could be small data. Small data is what we used to think of as data. The only way to comprehend Big data is to reduce the data into small, visually-appealing objects representing various aspects of large data sets (such ashistogram, charts, and scatter plots). Big Data is all about finding correlations, but Small Data is all about finding the causation, the reason why. A formal definition of small data has been proposed by Allen Bonde, former vice-president of Innovation at Actuate - now part of OpenText: "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." Another definition of small data is:
* The small set of specific attributes produced by the Internet of Things. These are typically a small set of sensor data such as temperature, wind speed, vibration and status. It was estimated that “If one takes the top 100 biggest innovations of our time, perhaps around 60% to 65% percent are really based on Small Data.” as Martin Lindstrom puts it. Small data includes everything from Snapchat to simple objects such as the post-it note. Lindstrom believes we become so focused on Big-Data that we tend to forget about more basic concepts and creativity. Lindstrom defines Small Data "as seemingly insignificant observations you identify in consumers’ homes, is everything from how you place your shoes on how you hang your paintings". He thus considers that one should perfectly master the basic (Small Data) in order to mine and find correlations.a) in order to mine and find correlations.
, Los microdatos o small/little data (termin … Los microdatos o small/little data (terminología en idioma inglés utilizada comúnmente) son datos de una dimensión suficientemente reducida para la comprensión humana. Tanto su volumen y como su formato los hacen accesibles, informativos y procesables para la toma de decisiones. Mientras el término "macrodatos" o "big data" se refiere a las máquinas, los microdatos se refieren a las personas. Los microdatos son lo que, hasta la irrupción de los macrodatos, solíamos entender simplemente por datos. La única manera de comprender los macrodatos consiste en reducirlos en elementos visuales representativos de diversos aspectos de los grandes conjuntos de datos (como indicadores sintéticos o gráficos). Los macrodatos persiguen la búsqueda de correlaciones, y los microdatos las causas, los porqués. Una definición formal de microdatos ha sido propuesta por Allen Bonde, anterior vicepresidente de Innovación en Actuate - ahora parte de OpenText: "los microdatos conectan personas con ideas oportunas, significativas (derivadas de macrodatos y/o “fuentes” locales), organizados y paquetizados – a menudo visualmente – para ser accesibles, comprensibles, y procesables para tareas cotidianas."s, y procesables para tareas cotidianas."
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Los microdatos o small/little data (termin … Los microdatos o small/little data (terminología en idioma inglés utilizada comúnmente) son datos de una dimensión suficientemente reducida para la comprensión humana. Tanto su volumen y como su formato los hacen accesibles, informativos y procesables para la toma de decisiones.y procesables para la toma de decisiones.
, Small data is data that is 'small' enough … Small data is data that is 'small' enough for human comprehension. It is data in a volume and format that makes it accessible, informative and actionable. The term "big data" is about machines and "small data" is about people. This is to say that eyewitness observations or five pieces of related data could be small data. Small data is what we used to think of as data. The only way to comprehend Big data is to reduce the data into small, visually-appealing objects representing various aspects of large data sets (such ashistogram, charts, and scatter plots). Big Data is all about finding correlations, but Small Data is all about finding the causation, the reason why.out finding the causation, the reason why.
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Small data
, Microdatos
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