kaiwaehner/ksql-udf-deep-learning-mqtt-iot
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
This helps operations engineers and data analysts monitor connected devices, such as car sensors, for unusual behavior in real time. It takes in streams of sensor data from IoT devices via MQTT and processes them continuously using KSQL, outputting alerts or insights about anomalies. This is for professionals who need to detect failures or deviations from normal operating conditions as they happen.
305 stars. No commits in the last 6 months.
Use this if you need to perform real-time anomaly detection on streaming IoT sensor data, particularly from connected cars or similar high-volume device networks.
Not ideal if your primary need is batch processing of historical data or if you are not working with Kafka and KSQL for stream processing.
Stars
305
Forks
116
Language
Java
License
Apache-2.0
Category
Last pushed
Dec 16, 2023
Commits (30d)
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