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From Bruno Cadonna <br...@confluent.io>
Subject Re: Streaming Data
Date Wed, 10 Apr 2019 04:27:10 GMT
Hi Nick,

You could give Kafka Streams a try for your use case. It is included in
Kafka, so probably you already have it!

For details, see https://kafka.apache.org/documentation/streams/ .

KSQL, which has already been mentioned by another member of the mailing
list uses Kafka Streams under the hood.

Best,
Bruno


On Tue, Apr 9, 2019 at 1:26 PM Nick Torenvliet <natorenvliet@gmail.com>
wrote:

> Hi all,
>
> Just looking for some general guidance.
>
> We have a kafka -> druid pipeline we intend to use in an industrial setting
> to monitor process data.
>
> Our kafka system recieves messages on a single topic.
>
> The messages are {"timestamp": yy:mm:ddThh:mm:ss.mmm, "plant_equipment_id":
> "id_string", "sensorvalue": float}
>
> For our POC there are about 2000 unique plant_equipment ids, this will
> quickly grow to 20,000.
>
> The kafka topic streams into druid
>
> We are building some node.js/react browser based apps for analytics and
> real time stream monitoring.
>
> We are thinking that for visualizing historical data sets we will hit druid
> for data.
>
> For real time streaming we are wondering what our best option is.
>
> One option is to just hit druid semi regularly and update the on screen
> visualization as data arrives from there.
>
> Another option is to stream subset of the topics (somehow) from kafka using
> some streams interface.
>
> With all the stock ticker apps out there, I have to imagine this is a
> really common use case.
>
> Anyone have any thoughts as to what we are best to do?
>
> Nick
>


-- 
Bruno Cadonna
Software Engineer at Confluent

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