Dear Kumar, Semantic Web techs are definitely a valuable approach to master the variety dimension of big data.
In my work on Stream Reasoning [1], I use Jena in memory and esper [2] to master the velocity and variety dimensions at once with the C-SPARQL engine [3]. I would not use Jena TDB to master volume and variety dimensions at once, but you may want to check out the Optique EU project [5] for Semantic Web techs used to this end. Enjoy, Emanuele [1] http://www.streamreasoning.org/ [2] http://www.espertech.com/products/esper.php [3] https://github.com/streamreasoning/CSPARQL-engine [4] https://github.com/streamreasoning/CSPARQL-ReadyToGoPack [5] http://optique-project.eu Inviato da iPhone Il giorno 31 ott 2015, alle ore 12:31, kumar rohit <[email protected]<mailto:[email protected]>> ha scritto: Thank you Bob but I have seen some recently research combining these both technologies like "Big data modeling using semantic tech" and something related. If not with Apache Jena, can we combine these two technologies like big data modeling or big data and triple stores or so? Regards On Fri, Oct 30, 2015 at 2:16 PM, Rob Walpole <[email protected]<mailto:[email protected]>> wrote: Usually when people talk about big data in anything but a very general sense they are talking about Apache Hadoop and the MapReduce model which is a way of parallel processing very large data sets. This is a completely different model to the RDF graph model supported by Apache Jena. That's not to say you can't process large data sets in parallel using Jena - but that would be big data in the very general sense. Rob On Thu, Oct 29, 2015 at 9:17 PM, kumar rohit <[email protected]<mailto:[email protected]>> wrote: Hello how can big data can be related with Jena or semantic web in general?
