I tend to use a working definition more like this: (01)
Data is "big" when its size makes it large enough that patterns
discoverable within it are statistically more significant than any
patterns imposed by original schemas. (02)
Ian (03)
On Thu, Jan 23, 2014 at 12:32 AM, John McClure <jmcclure@xxxxxxxxxxxxxx> wrote:
> Hello,
> Is the following definition for "Big Data" from Wikipedia what we're working
> with? Or, in the context of Semantic Web and Applied Ontologies, are we
> presuming "Big Semantic Data"?
> Thanks for your comments.
>
> Big data[1][2] is the term for a collection of data sets so large and
> complex that it becomes difficult to process using on-hand database
> management tools or traditional data processing applications. The challenges
> include capture, curation, storage,[3] search, sharing, transfer,
> analysis,[4] and visualization. The trend to larger data sets is due to the
> additional information derivable from analysis of a single large set of
> related data, as compared to separate smaller sets with the same total
> amount of data, allowing correlations to be found to "spot business trends,
> determine quality of research, prevent diseases, link legal citations,
> combat crime, and determine real-time roadway traffic conditions."[5][6][7]
>
>
>
>
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