Skip to content
#

kafka-streams

Here are 610 public repositories matching this topic...

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 Nov 26, 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 Nov 5, 2020
  • Jupyter Notebook
azkarra-streams
fhussonnois
fhussonnois commented May 12, 2020

Currenlty a StreamsExecutionEnvironment instance can be registed directly through the AzkarraContext#addExecutionEnvironment method and from the configuration.

The following example shows how to define an environment using configuration :

azkarra {
  // Create a environment for running the WordCountTopology
  environments = [
    {
      name: "dev"
      config = {}
      jo

Improve this page

Add a description, image, and links to the kafka-streams topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the kafka-streams topic, visit your repo's landing page and select "manage topics."

Learn more