Getting Big Data On Board with RDF

Bob DuCharme recently wrote on his blog, "I think I've figured it out… Here's how to sell the Semantic Web and Linked Data visions to the Big Data folk: don't. Sell them on RDF technology. The process of selling a set of technologies usually means selling a vision, getting people psyched about that vision, and then telling them about the technology that implements that vision. For RDF technology (by which I mean RDF, SPARQL, and optionally, RDFS and OWL), the vision for many years was the Semantic Web. Some people in that community eventually decided that an easier vision to sell was Linked Data. (Linked Data may not always include RDF technology—when Tim Berners-Lee added '(RDF*, SPARQL)' to his list of Linked Data principles, it became the filioque controversy of the Linked Data community—but the boundaries of this or other sets of technologies I'm discussing are not the issue here. The point is, it's very common to use the Linked Data vision to sell people on the value of using URIs, triples, and SPARQL together.)"

He goes on, "Big Data is itself a vision. Note how it's spelled in initial caps, like 'Semantic Web' and 'Linked Data,' and features prominently in sales pitches from large and small system vendors. The 166-page IBM educational/marketing PDF 'Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data' (available here with registration) is mostly about the Big Data vision: the issues, the common use cases that can now be handled, and in general, the possibilities. Instead of trying to sell Big Data people on one or two of our overlapping visions, we should be showing them the connections between our technology and the vision that they're already sold on."

Read more here.

Image: Courtesy Flickr/ Jeffrey Vos