flink-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Trevor Grant <trevor.d.gr...@gmail.com>
Subject Re: Anyone going to ApacheCon Big Data in Vancouver?
Date Fri, 29 Apr 2016 13:12:10 GMT
Hey Ken,

I'll be there doing a talk on Monday afternoon on using Zeppelin for a Data
Science environment with a couple of Flink and Spark Examples.

I'm doing a tutorial Wednesday morning (I think for ApacheCon) that is
about setting up Zeppelin with Flink and Spark in cluster mode.

Would love to meet up with any and all from the community, and my Zeppelin
notebooks will be available (already are available) on my github in the
'apachecon' repository.

tg


Trevor Grant
Data Scientist
https://github.com/rawkintrevo
http://stackexchange.com/users/3002022/rawkintrevo
http://trevorgrant.org

*"Fortunate is he, who is able to know the causes of things."  -Virgil*


On Thu, Apr 28, 2016 at 5:59 PM, Ken Krugler <kkrugler_lists@transpac.com>
wrote:

>
> On Apr 28, 2016, at 3:37pm, Suneel Marthi <smarthi@apache.org> wrote:
>
> I'll be there Ken, still waiting for Part 3 of ur blog series from 2013 on
> text processing. :)
>
>
> Oh geez. I completely forgot about that.
>
>  OK, maybe on the flight back from the conference :)
>
> Or we can discuss in person at the event...
>
> — Ken
>
>
> On Thu, Apr 28, 2016 at 6:34 PM, Ken Krugler <kkrugler_lists@transpac.com>
> wrote:
>
>> Hi all,
>>
>> Is anyone else from the community going?
>>
>> It would be fun to meet up with other Flink users during the event.
>>
>> I’ll be there from Sunday (May 8th) to early Wednesday afternoon (May
>> 11th).
>>
>> — Ken
>>
>> PS - On Monday I’ll be giving a talk
>> <http://apachebigdata2016.sched.org/event/6Lzi/a-faster-way-for-faster-workflows-ken-krugler-scale-unlimited>
on
>> my experience with using the Flink planner for Cascading.
>>
>>
>
> --------------------------
> Ken Krugler
> +1 530-210-6378
> http://www.scaleunlimited.com
> custom big data solutions & training
> Hadoop, Cascading, Cassandra & Solr
>
>
>
>

Mime
View raw message