Do perceptions on big data imply that their values are big, their retaining spaces (bit sizes) are big, their operations (processing costs) are big, their complexities are big, or their cognition efforts are big?
With big data people usually mean:
- high volume (tera to petabytes)
- high velocity (streams of data and not only static connections, things increase)
- high variety (structured data, free text, multimedia, really the mix of all this)
- unknown veracity (data may contain errors and is often incomplete)
All this means that it is not simply about ver large amounts of data and using old techniques on more data but also on finding models to deal with incomplete and quickly changing data such as data curation before data can be analyzed and conclusions be made on the data.
Dear Professr Yingxu Wang, In my opinion 'cognitive efforts are big or not' can not be decided without making a Predictive Model and then Optimization.
Big Data is a lot of buzz. I like the explanation from the image on the link bellow ;)
http://image-store.slidesharecdn.com/ceef8190-34c0-11e3-93d3-12313b0f1158-large.jpg
They are all big but I think the biggest of all is building computation models (Machine Learning and cognition) that could explain human cognition (and behavior).
Big data is a shorter way of saying that we are unable to process data in a timely manner, irrespective of the three (or four) Vs mentioned by prof. Muller above. We have more data than we can analyze in any conceivable time interval (or even look at). Even since it was first coined in 1997 by Michael Cox and David Ellsworth it was under this umbrella. Capturing the essence of this data involves complex data mining for relevant pieces, new storage models and scalable algorithms for processing. Practically almost all CS research in this direction focuses on these three aspects. Big data has been with us since the digital era and it will be with us for a long time.
An exponential increase in the amount of data and the speed of data accumulation caused a qualitative changes in IT: new approach to data treatment and data management -> new forms of organizations->new forms of business managements->new human-computer interactions . See:
V. M. Schonberger, K. Cukier. Big Data: A revolution that will transform how we live, work, and think. 2013, Houghton Mifflin Harcourt Publishing Company, N.-Y.
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