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ksql

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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 with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

  • Updated Apr 23, 2020
  • Java

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

  • Updated Apr 6, 2020
  • Jupyter Notebook

The goal is to play with Debezium and KSQL. For this, we have: research-service that inserts/updates/deletes records in MySQL; Source Connectors that monitor change of records in MySQL and push messages related to those changes to Kafka; Sink Connectors and kafka-research-consumer that read messages from Kafka and insert/update documents in Elasticsearch; finally, KSQL-Server that listens some topics in Kafka, does some joins and pushes new messages to new topics in Kafka.

  • Updated Jul 10, 2020
  • Java

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