Hi Michael, AQP is valuable in our business scenarios. Often time our data scientist would issue exploratory queries to get a basic sense of the data (means, aggregation on certain groupings, etc). But from my understanding, Verdict DB is independent to the database system and the query planner/optimizer. I wonder what you want to achieve specifically through Calcite integration?
> On May 7, 2018, at 10:05 AM, Michael Mior <[email protected]> wrote: > > 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. > > -- > Michael Mior > [email protected] > > > Le jeu. 3 mai 2018 à 18:58, Edmon Begoli <[email protected]> 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 >> analysis. >> >> Thank you, >> Edmon >> >> On Thu, May 3, 2018 at 6:54 PM, Michael Mior <[email protected]> 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 >>> [email protected] >>> >>
