Hello,
I would like to encourage you to participate in the free webinars in the
field of real-time streaming, which will take place next Tuesday, March
15th. One of the speakers Francesco Tisiot <https://www.linkedin.com/> will
talk about *Apache Kafka and Flink: Stateful Streaming Data Pip
Hi All, thanks for the recommendations. I really like staying close to the
Apache.org product line - so I will likely go the route that puts kafka
streams or spark into play.
On Wed, Apr 10, 2019 at 11:45 AM Robin Moffatt wrote:
> +1 for looking into Kafka Streams. You can build and maintain st
+1 for looking into Kafka Streams. You can build and maintain state within
your app, and expose it on a REST endpoint for your node/react app to
query.
There's an example of this here:
https://github.com/confluentinc/kafka-streams-examples/blob/5.2.1-post/src/main/java/io/confluent/examples/streams
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 ho
For more flexibility without the need for extensive coding I suggest Esper
complex event processing (http://www.espertech.com/esper)
-R
Sent: Tuesday, April 09, 2019 at 4:26 PM
From: "Nick Torenvliet"
To: users@kafka.apache.org
Subject: Streaming Data
Hi all,
Just looking for so
Nick,
Have you looked at Apache Flink? It’s got very powerful API’s and you can
stream aggregations, filters, etc right to druid and also it has very robust
state management that might be a good fit for your use case.
https://flink.apache.org/
https://github.com/druid-io/tranquility
Thanks,
Ke
use Spark streaming to receive topics from Kafka and process through some
kind of rule engine based on incoming tickers.
Sound like a variation of Lambda architecture. You have the batch layer
sorted out and now looking for speed layer with some form of dashboard.
Something similar to below but m
I would stream to influxdb and visualize with grafana. Works great for
dashboards. But I would rethink your line format. It's very convenient to
have tags (or labels) that are key/value pair on each metric if you ever
want to aggregate over a group of similar metrics.
Svante
Hi Nick,
Have you looked into KSQL?
Kind regards,
Liam Clarke
On Wed, 10 Apr. 2019, 8:26 am Nick Torenvliet,
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 sy
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", "se
Hi guys,
I would like to recommend the following post, discussing and comparing
techniques for loading data from Kafka to BigQuery.
https://medium.com/myheritage-engineering/kafka-to-bigquery-load-a-guide-for-streaming-billions-of-daily-events-cbbf31f4b737
Feedback is welcome.
*Ofir Sharony*
Ba
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