Roger,

Sorry for not directly answering your question, but there is an
alternative approach to NoSQL analytics which is declarative and a W3C
standard - SPARQL RDF query language:
http://www.w3.org/TR/sparql11-overview/

Martynas
graphityhq.com

On Tue, Nov 5, 2013 at 11:12 AM, Costello, Roger L. <costello@xxxxxxxxx> wrote:
> Hi Folks,
>
> Apparently "data science" is the hot buzzword these days:
>
> Data Scientist: The Sexiest Job of the 21st Century (http://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century/)
>
> I think that, in a nutshell, data science is about analyzing large amounts of data.
>
> It seems that most people believe that the Hadoop, parallel processing paradigm is the sole way of doing data science/data analytics.
>
> However, I think that streaming is an equally valuable approach.
>
> XSLT streaming is all about processing large amounts of (XML-formatted) data.
>
> So XSLT streaming should fit in the "data science" and "data analytics" categories.
>
> Broad Question: Would you provide a scenario/example of doing data science/data analytics using XSLT streaming please?
>
> I realize that the question is rather vague and broad. I am hoping we can collectively come up with ideas on how to do data analytics (data science) using XSLT streaming. Any ideas you might have would be appreciated.
>
> /Roger