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Kai Waehner kaiwaehner

Kai Wähner works as Technolgy Evangelist at Confluent. He is regular speaker at international IT conferences. References: www.kai-waehner.de

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  1. 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…

    Java 909 317

  2. Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response

    Java 149 46

  3. Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data

    Java 304 116

  4. Internet of Things Integration Example => Apache Kafka + Kafka Connect + MQTT Connector + Sensor Data

    Shell 213 86

  5. Making Machine Learning Simple and Scalable with Python, Jupyter Notebook, TensorFlow, Keras, Apache Kafka and KSQL

    Jupyter Notebook 97 65

  6. 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

    Jupyter Notebook 418 149