Subject: Re: [xsl] Data science, data analytics using XSLT streaming From: Martynas Jusevičius <martynas@xxxxxxxxxxxx> Date: Tue, 5 Nov 2013 11:25:20 +0100 |
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
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