Re: Approximate query processing in Calcite
Edmon (and others),
I'd be curious to hear more about your specific use cases if you're able to
share. Especially those who have companies which may benefit from using AQP
with Calcite to lower costs.
Le jeu. 3 mai 2018 à 18:58, Edmon Begoli <ebegoli@xxxxxxxxx> a écrit :
> I am excited that you are considering taking Calcite in this direction.
> Approximate querying and probabilistic databases are of great interest to
> me, and I might be able to provide some applied research scenarios.
> One domain that comes to mind where we had some use cases is a sensor data
> Thank you,
> On Thu, May 3, 2018 at 6:54 PM, Michael Mior <mmior@xxxxxxxxxxxx> wrote:
> > Hi all,
> > I recently had a chat with the VerdictDB (http://verdictdb.org/) team
> > about
> > possible integration with Calcite. VerdictDB sits between an application
> > and a database to enable the approximation of query results which are
> > expected to be highly accurate while consuming significantly fewer
> > resources on the backend.
> > I'm curious to talk to anyone who might have a use case for this.
> > Particularly those using Calcite to power analytics systems that can
> > tolerate approximate results. We'll likely be looking at putting
> together a
> > proof of concept in the next few weeks if there's any interest. Let me
> > know!
> > --
> > Michael Mior
> > mmior@xxxxxxxxxxxx