#Ksql

kaiwaehner

kafka-streams-machine-learning-examples

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.

kaiwaehner

hivemq-mqtt-tensorflow-kafka-realtime-iot-machine-learning-training-inference

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

kaiwaehner

ksql-fork-with-deep-learning-function

Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example

confluentinc

cp-ansible

Ansible playbooks for the Confluent Platform

confluentinc

cli

CLI for Confluent Cloud and Confluent Platform

confluentinc

cp-demo

Confluent Platform Demo including Apache Kafka, ksqlDB, Control Center, Schema Registry, Security, Schema Linking, and Cluster Linking

shravan-kuchkula

udacity-data-eng-proj3

Built a stream processing data pipeline to get data from disparate systems into a dashboard using Kafka as an intermediary.