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Mm FLaNK Stack (MXNet, MiNiFi, Flink, NiFi, Kafka, Kudu) for AI-IoT
[PROJECT IS NO LONGER MAINTAINED] Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.
Low-code tool for automating actions on real time data | Stream processing for the users.
[PROJECT IS NO LONGER MAINTAINED] Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data tech like Kafka.
FeatHub - A stream-batch unified feature store for real-time machine learning
An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.
The Open source Resource as Code framework for Apache Kafka. Jikkou helps you implement GitOps for Kafka at scale!
A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL
? Azkarra is a lightweight java framework to make it easy to develop, deploy and manage cloud-native streaming microservices based on Apache Kafka Streams.
Kafka Streams + Java + gRPC + TensorFlow Serving => Stream Processing combined with RPC / Request-Response
flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine