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(_at_)mitre(_dot_)org> 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
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