Hi everyone, I’m exploring the idea of using the KNIME Analytics Platform to process live sensor data from microcontrollers (like ESP32 or Raspberry Pi). I recently saw a project where ESP32 is used to publish sensor data over MQTT/HTTP https://www.theengineeringprojects.com/2021/11/esp32-mqtt.html and I wondered whether KNIME could ingest this data stream, clean it, and perhaps visualize or trigger alerts inside a workflow. I’ve seen some community threads on Arduino and Raspberry Pi where people log data and push to dashboards or databases, but I haven’t seen much about coupling that with a data‑analysis tool like KNIME. Has anyone tried this kind of setup, streaming IoT data into KNIME, doing preprocessing, or even training predictive models off it? Would love to hear about your architecture choices, any clean‑up steps required, and what nodes or extensions worked best for you.
This may give you someplace to start. Its a little dated.
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