# Real time classification of streaming data

**URL:** <https://forum.knime.com/t/real-time-classification-of-streaming-data/15101>\
**Category:** KNIME Analytics Platform\
**Created:** [May 7, 2019, 2:25pm UTC](https://forum.knime.com/t/real-time-classification-of-streaming-data/15101 "2019-05-07T14:25:58Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![alsc](https://forum-cdn.knime.com/letter_avatar_proxy/v4/letter/a/9dc877/32.png) [@alsc](https://forum.knime.com/u/alsc)\
**Post date:** [May 7, 2019, 2:25pm UTC](https://forum.knime.com/t/real-time-classification-of-streaming-data/15101/1 "2019-05-07T14:25:58Z")

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Hi,

is there a way to input a data stream into Knime from a Java application and classify this data by a trained model and send the class back to the application?

An alternative approach could be to export the workflow, or only the trained model into usable Java Code. Is this possible?

Greetings  
alsc

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**Author:** ![ipazin](https://forum-cdn.knime.com/user_avatar/forum.knime.com/ipazin/32/806_2.png) [@ipazin](https://forum.knime.com/u/ipazin)\
**Post date:** [May 9, 2019, 10:11am UTC](https://forum.knime.com/t/real-time-classification-of-streaming-data/15101/2 "2019-05-09T10:11:54Z")

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Hi there!

If you can connect (get data and send data) from KNIME to this Java application why not?

Regarding deploying model build in KNIME check this blog and corresponding video: [https://www.knime.com/blog/seven\_modes\_deployment](https://www.knime.com/blog/seven_modes_deployment)

Additionally regarding streaming possibilities KNIME supports Kafka from 3.6 version: [https://www.knime.com/whats-new-in-knime-36#apache-kafka](https://www.knime.com/whats-new-in-knime-36#apache-kafka)

Br,  
Ivan

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**Author:** ![system](https://forum-cdn.knime.com/uploads/default/original/1X/ab3ccf34482a0329361734a18199390177204f15.png) [@system](https://forum.knime.com/u/system)\
**Post date:** [November 7, 2019, 10:12pm UTC](https://forum.knime.com/t/real-time-classification-of-streaming-data/15101/3 "2019-11-07T22:12:42Z")

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