Hey Jeffrey.
Thanks for reply.

I already have something similar, I use Grafana and Graphite, and for
simple metric streaming we've got all set-up right.

My question is about interactive patterns. For instance, dynamically choose
an event to monitor, dynamically choose group-by field or any sort of
filter, then view results. This is easy when you have 1 user, but if you
have team of analysts all specifying their own criteria, it becomes hard to
manage them all.

On 20 March 2015 at 12:02, Jeffrey Jedele <jeffrey.jed...@gmail.com> wrote:

> Hey Harut,
> I don't think there'll by any general practices as this part heavily
> depends on your environment, skills and what you want to achieve.
>
> If you don't have a general direction yet, I'd suggest you to have a look
> at Elasticsearch+Kibana. It's very easy to set up, powerful and therefore
> gets a lot of traction currently.
>
> Regards,
> Jeff
>
> 2015-03-20 8:43 GMT+01:00 Harut <harut.martiros...@gmail.com>:
>
>> I'm trying to build a dashboard to visualize stream of events coming from
>> mobile devices.
>> For example, I have event called add_photo, from which I want to calculate
>> trending tags for added photos for last x minutes. Then I'd like to
>> aggregate that by country, etc. I've built the streaming part, which reads
>> from Kafka, and calculates needed results and get appropriate RDDs, the
>> question is now how to connect it to UI.
>>
>> Is there any general practices on how to pass parameters to spark from
>> some
>> custom built UI, how to organize data retrieval, what intermediate
>> storages
>> to use, etc.
>>
>> Thanks in advance.
>>
>>
>>
>>
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>


-- 
RGRDZ Harut

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