Subject: Re: [xsl] Data science, data analytics using XSLT streaming From: Wendell Piez <wapiez@xxxxxxxxxxxxxxx> Date: Tue, 5 Nov 2013 11:35:18 -0500 |
Hi, I agree with Andrew. These projects are fun, and XSLT pipelines are well suited to them, because they are capable of exposing the semantic issues and keeping syntax out of the way. This is even true when the first step is a rendering of a non-XML format into an XML representation, and the last step is serializing the data in a form optimized for something else (such as your query engine of choice). And no, streaming is not necessary, although it can help. Plus, the biggest problem isn't scale anyway: it's the semantic integrity of the data or (more likely) the lack thereof. This can be compounded by non-technical issues such as data owners not seeing the information they actually have because they are blinded by their expectations of what it is "supposed" to be. Cheers, Wendell Wendell Piez | http://www.wendellpiez.com XML | XSLT | electronic publishing Eat Your Vegetables _____oo_________o_o___ooooo____ooooooo_^ On Tue, Nov 5, 2013 at 5:26 AM, Andrew Welch <andrew.j.welch@xxxxxxxxx> wrote: >> 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? > > Typically the data is held in multiple files rather than 1 big one, so > you don't necessarily need streaming, just a set of steps that process > directories of xml into various intermediate formats, then into the > final presentation view (such as a table with the data grouped, > sorted, with counts) > > I've done this sort of thing a few times now and I always enjoy it. > > > -- > Andrew Welch > http://andrewjwelch.com
Current Thread |
---|
|
<- Previous | Index | Next -> |
---|---|---|
Re: [xsl] Data science, data analyt, Andrew Welch | Thread | Re: [xsl] Data science, data analyt, Ihe Onwuka |
Re: [xsl] xsl 2.0?, Peter Flynn | Date | Re: [xsl] Data science, data analyt, Ihe Onwuka |
Month |