Hello Kingsley, (01)
On Fri, Sep 13, 2013 at 08:37:01AM -0400, Kingsley Idehen wrote:
> >I agree wholeheartedly. RDF and SPARQL make data integration easier
> >(without
> >solving the fundamental issues of course).
>
> What is the fundamental issue, as you see it? (02)
http://en.wikipedia.org/wiki/Heterogeneous_database_system#Problems_of_heterogeneous_database_integration (03)
http://lists.w3.org/Archives/Public/public-lod/2013Jun/0458.html (04)
> I see the fundamental issue (or pain point) being data-de-silo-fication. (05)
RDF is nice for Extract Transform Load. The problems start if you want to
change data. (06)
> > But they are a bad option for data
> >storage because maintaining consistency is so difficult (think about
> >deleting
> >a row or transactions).
>
> I don't know what that really means. (07)
Suppose you have an App with user registration. If you store the user data
in a triple store, deleting a user with SPARQL becomes difficult. Removing
a single triple is not enough. Storing the user in a named graph may help but
probably creates other problems and definitely makes querying a lot more
complicated. (08)
What about SPARQL transactions ? Starting a transaction, reading and updating,
commiting the transaction. Is there a triple store that supports this with
all the fidelity of modern RDB systems ? (09)
> I say that because we simply don't have that problem in our hybrid DBMS. (010)
I don't know what that really means. Can I modify data with SPARQL *and* SQL
in your DBMS ? If yes, how does that work ? (011)
Regards, (012)
Michael Brunnbauer (013)
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