Kai Wähner works as Technolgy Evangelist at Confluent. He is regular speaker at international IT conferences. References: www.kai-waehner.de
Confluent
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built wi…
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
Internet of Things Integration Example => Apache Kafka + Kafka Connect + MQTT Connector + Sensor Data
Making Machine Learning Simple and Scalable with Python, Jupyter Notebook, TensorFlow, Keras, Apache Kafka and KSQL
Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required
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