Thanks Cos. Hello Flink Community.
>From Ignite standpoint we definitely would be interested in providing Flink processing API on top of Ignite Data Grid or IGFS. It would be interesting to hear what steps would be required for such integration or if there are other integration points. D. On Tue, Apr 28, 2015 at 2:57 PM, Konstantin Boudnik <c...@apache.org> wrote: > Following the lively exchange in Twitter (sic!) I would like to bring > together > Ignite and Flink communities to discuss the benefits of the integration and > see where we can start it. > > We have this recently opened ticket > https://issues.apache.org/jira/browse/IGNITE-813 > > and Fabian has listed the following points: > > 1) data store > 2) parameter server for ML models > 3) Checkpointing streaming op state > 4) continuously updating views from streams > > I'd add > 5) using Ignite IGFS to speed up Flink's access to HDFS data. > > I see a lot of interesting correlations between two projects and wonder if > Flink guys can step up with a few thoughts on where Flink can benefit the > most > from Ignite's in-memory fabric architecture? Perhaps, it can be used as > in-memory storage where the other components of the stack can quickly > access > and work w/ the data w/o a need to dump it back to slow storage? > > Thoughts? > Cos >
