Popular GitHub Repositories for Kafka Streams

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.

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

? Open Source App Framework to build streaming apps with real-time data - ? Build real-time data pipelines and make real-time data universally accessible - ? Join historical and real-time data in the stream to create smarter ML and AI applications. - ? Standardize complex data ingestion and stream data to apps with pre-built connectors

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

Stream processing using kafka-python to track people (user input images of target) in the wild over multiple video streams.

Machine Learning and Big Data based Threat Intelligence

Streaming Data from Twitter for Sentiment Analysis

This repo contains implementations of PySpark for real-world use cases for batch data processing, streaming data processing sourced from Kafka, sockets, etc., spark optimizations, business specific bigdata processing scenario solutions, and machine learning use cases.

这是一个大型数据项目，旨在利用Kafka、Spark Streaming和PostgreSQL构建一个实时处理金融数据（加密货币和股票市场）的管道。该项目还包括在Power BI中可视化结果。