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Data Science Trends for 2015

By   /  December 30, 2014  /  No Comments

Kurt Cagle, the Principal Evangelist of semantic technologies at Avalon Consulting, recently shared his thoughts on what trends we can all expect in data science next year.

288903092_cbc30ad424Kurt Cagle, the Principal Evangelist of semantic technologies at Avalon Consulting, LLC, recently shared his thoughts on what trends we can all expect in data science next year. He writes, “There is a certain irony talking about trends in data science, as much of data science is geared primarily to detecting and extrapolating trends from disparate data patterns. In this case, this is part of a series of analyses I’ve written for over a decade, looking at what I see as the key areas that most heavily impact the area of technology I’m focusing on at the top. For the last few years, this has been a set of technologies which have increasingly been subsumed under the rubrick of Data Science.”

Kagle goes on, “This has been a remarkably good year in the field of data science – the Big Data field both matured and spawned a few additional areas of study, semantics went from being an obscure term to getting attention in the C-Suite and the demand for good data visualizers went from tepid to white hot. 2015 looks to be more of the same, with the focus shifting more to the analytics and semantic side, and Hadoop (and Map/Reduce without Hadoop) becoming more mainstream.”

He predicts that Semantic Technology will become standard in 2015: “2014 saw the release of the SPARQL 1.1 specification and the SPARQL Update in the Semantics sphere, and also saw the release of the first products to fully incorporate these standards. Over the course of the next year, this major upgrade to the SPARQL standard will become the de facto mechanism for communicating with triple stores, which will in turn driive the utilization of new semantics-based applications.”

Read more here.

Image: Courtesy Flickr/ orangeacid

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