Thank you Emanuele Della Valle for your valuable information.

On Mon, Nov 2, 2015 at 7:53 AM, Emanuele Della Valle <
[email protected]> wrote:

> 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?
>
>
>

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