Congratulations to the whole team for the great job
On Tue, Aug 16, 2016 at 6:59 PM, Mohit Jaggi wrote:
> awesome!
>
> Mohit Jaggi
> Founder,
> Data Orchard LLC
> www.dataorchardllc.com
>
>
>
>
> On Aug 16, 2016, at 6:56 AM, Ahyoung Ryu wrote:
>
>
Congratulations, the Apache Zeppelin team & all community members! [image:
]
> Congratulations !!!
>
> Great turn around with required spark 2.0 support and fix for SparkR with
> Spark2.0.
>
> Regards,
> Sourav
>
> On Tue, Aug 16, 2016 at 2:02 AM, Hyung Sung Shim
Congratulations !!!
Great turn around with required spark 2.0 support and fix for SparkR with
Spark2.0.
Regards,
Sourav
On Tue, Aug 16, 2016 at 2:02 AM, Hyung Sung Shim wrote:
> Congratulations for 0.6.1 release!
> Thank you for everyone especially mina.
>
> 2016-08-16
Congratulations for 0.6.1 release!
Thank you for everyone especially mina.
2016-08-16 16:57 GMT+09:00 Mina Lee >:
> The Apache Zeppelin community is pleased to announce the availability of
> the 0.6.1 release.
>
> Zeppelin
Congrats to the team!
On Tue, 16 Aug 2016 at 10:12 Alexander Bezzubov wrote:
> Congratulations, everyone!
>
> And thank you Mina for putting it all together!
>
> https://twitter.com/ApacheZeppelin/status/765459508315303936
>
> --
> Alex
>
> On Tue, Aug 16, 2016 at 4:57 PM, Mina
Congratulations, everyone!
And thank you Mina for putting it all together!
https://twitter.com/ApacheZeppelin/status/765459508315303936
--
Alex
On Tue, Aug 16, 2016 at 4:57 PM, Mina Lee wrote:
> The Apache Zeppelin community is pleased to announce the availability of
>
Awesome job!
On Tue, Aug 16, 2016 at 4:57 PM, Mina Lee wrote:
> The Apache Zeppelin community is pleased to announce the availability of
> the 0.6.1 release.
>
> Zeppelin is a collaborative data analytics and visualization tool for
> distributed, general-purpose data
The Apache Zeppelin community is pleased to announce the availability of
the 0.6.1 release.
Zeppelin is a collaborative data analytics and visualization tool for
distributed, general-purpose data processing system such as Apache Spark,
Apache Flink, etc.
The community put significant effort into