You are viewing a plain text version of this content. The canonical link for it is here.
Posted to user@flink.apache.org by madhu phatak <ph...@gmail.com> on 2015/12/01 16:23:23 UTC
Re: Material on Apache flink internals
Hi everyone,
I am fascinated with flink core engine way of streaming of operators rather
than typical map/reduce way that followed by hadoop or spark. Is any good
documentation/blog/video avalable which talks about this internal. I am ok
from a batch or streaming point of view.
It will be great if some one can share this info. Thank you for your
excellent work.
--
Regards,
Madhukara Phatak
http://datamantra.io/
Re: Material on Apache flink internals
Posted by madhu phatak <ph...@gmail.com>.
Hi Welly,
Those two resources are really great. Thanks a lot for sharing.
On Fri, Dec 4, 2015 at 7:48 PM, Welly Tambunan <if...@gmail.com> wrote:
> Hi Madhu,
>
> You can also check this page for the details on internals
>
> https://cwiki.apache.org/confluence/display/FLINK/Flink+Internals
> http://www.slideshare.net/KostasTzoumas/flink-internals
>
> Cheers
>
> On Fri, Dec 4, 2015 at 10:14 AM, madhu phatak <ph...@gmail.com>
> wrote:
>
>> Hi,
>> Thanks a lot for the resources.
>> On Dec 1, 2015 9:11 PM, "Fabian Hueske" <fh...@gmail.com> wrote:
>>
>>> Hi Madhu,
>>>
>>> checkout the following resources:
>>>
>>> - Apache Flink Blog: http://flink.apache.org/blog/index.html
>>> - Data Artisans Blog: http://data-artisans.com/blog/
>>> - Flink Forward Conference website (Talk slides & recordings):
>>> http://flink-forward.org/?post_type=session
>>> - Flink Meetup talk recordings:
>>> https://www.youtube.com/channel/UCY8_lgiZLZErZPF47a2hXMA
>>> - Slim's Flink Knowledge base:
>>> http://sparkbigdata.com/component/tags/tag/27-flink
>>>
>>> Best, Fabian
>>>
>>> 2015-12-01 16:23 GMT+01:00 madhu phatak <ph...@gmail.com>:
>>>
>>>> Hi everyone,
>>>>
>>>> I am fascinated with flink core engine way of streaming of operators
>>>> rather than typical map/reduce way that followed by hadoop or spark. Is any
>>>> good documentation/blog/video avalable which talks about this internal. I
>>>> am ok from a batch or streaming point of view.
>>>>
>>>> It will be great if some one can share this info. Thank you for your
>>>> excellent work.
>>>>
>>>> --
>>>> Regards,
>>>> Madhukara Phatak
>>>> http://datamantra.io/
>>>>
>>>
>>>
>
>
> --
> Welly Tambunan
> Triplelands
>
> http://weltam.wordpress.com
> http://www.triplelands.com <http://www.triplelands.com/blog/>
>
--
Regards,
Madhukara Phatak
http://datamantra.io/
Re: Material on Apache flink internals
Posted by Welly Tambunan <if...@gmail.com>.
Hi Madhu,
You can also check this page for the details on internals
https://cwiki.apache.org/confluence/display/FLINK/Flink+Internals
http://www.slideshare.net/KostasTzoumas/flink-internals
Cheers
On Fri, Dec 4, 2015 at 10:14 AM, madhu phatak <ph...@gmail.com> wrote:
> Hi,
> Thanks a lot for the resources.
> On Dec 1, 2015 9:11 PM, "Fabian Hueske" <fh...@gmail.com> wrote:
>
>> Hi Madhu,
>>
>> checkout the following resources:
>>
>> - Apache Flink Blog: http://flink.apache.org/blog/index.html
>> - Data Artisans Blog: http://data-artisans.com/blog/
>> - Flink Forward Conference website (Talk slides & recordings):
>> http://flink-forward.org/?post_type=session
>> - Flink Meetup talk recordings:
>> https://www.youtube.com/channel/UCY8_lgiZLZErZPF47a2hXMA
>> - Slim's Flink Knowledge base:
>> http://sparkbigdata.com/component/tags/tag/27-flink
>>
>> Best, Fabian
>>
>> 2015-12-01 16:23 GMT+01:00 madhu phatak <ph...@gmail.com>:
>>
>>> Hi everyone,
>>>
>>> I am fascinated with flink core engine way of streaming of operators
>>> rather than typical map/reduce way that followed by hadoop or spark. Is any
>>> good documentation/blog/video avalable which talks about this internal. I
>>> am ok from a batch or streaming point of view.
>>>
>>> It will be great if some one can share this info. Thank you for your
>>> excellent work.
>>>
>>> --
>>> Regards,
>>> Madhukara Phatak
>>> http://datamantra.io/
>>>
>>
>>
--
Welly Tambunan
Triplelands
http://weltam.wordpress.com
http://www.triplelands.com <http://www.triplelands.com/blog/>
Re: Material on Apache flink internals
Posted by madhu phatak <ph...@gmail.com>.
Hi,
Thanks a lot for the resources.
On Dec 1, 2015 9:11 PM, "Fabian Hueske" <fh...@gmail.com> wrote:
> Hi Madhu,
>
> checkout the following resources:
>
> - Apache Flink Blog: http://flink.apache.org/blog/index.html
> - Data Artisans Blog: http://data-artisans.com/blog/
> - Flink Forward Conference website (Talk slides & recordings):
> http://flink-forward.org/?post_type=session
> - Flink Meetup talk recordings:
> https://www.youtube.com/channel/UCY8_lgiZLZErZPF47a2hXMA
> - Slim's Flink Knowledge base:
> http://sparkbigdata.com/component/tags/tag/27-flink
>
> Best, Fabian
>
> 2015-12-01 16:23 GMT+01:00 madhu phatak <ph...@gmail.com>:
>
>> Hi everyone,
>>
>> I am fascinated with flink core engine way of streaming of operators
>> rather than typical map/reduce way that followed by hadoop or spark. Is any
>> good documentation/blog/video avalable which talks about this internal. I
>> am ok from a batch or streaming point of view.
>>
>> It will be great if some one can share this info. Thank you for your
>> excellent work.
>>
>> --
>> Regards,
>> Madhukara Phatak
>> http://datamantra.io/
>>
>
>
Re: Material on Apache flink internals
Posted by Fabian Hueske <fh...@gmail.com>.
Hi Madhu,
checkout the following resources:
- Apache Flink Blog: http://flink.apache.org/blog/index.html
- Data Artisans Blog: http://data-artisans.com/blog/
- Flink Forward Conference website (Talk slides & recordings):
http://flink-forward.org/?post_type=session
- Flink Meetup talk recordings:
https://www.youtube.com/channel/UCY8_lgiZLZErZPF47a2hXMA
- Slim's Flink Knowledge base:
http://sparkbigdata.com/component/tags/tag/27-flink
Best, Fabian
2015-12-01 16:23 GMT+01:00 madhu phatak <ph...@gmail.com>:
> Hi everyone,
>
> I am fascinated with flink core engine way of streaming of operators
> rather than typical map/reduce way that followed by hadoop or spark. Is any
> good documentation/blog/video avalable which talks about this internal. I
> am ok from a batch or streaming point of view.
>
> It will be great if some one can share this info. Thank you for your
> excellent work.
>
> --
> Regards,
> Madhukara Phatak
> http://datamantra.io/
>