You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Scripts and samples to support Confluent Demos, Talks, and Blogs. Not all of the examples in this repository are kept up to date. For automated tutorials and QA'd code, see https://github.com/confluentinc/tutorials/
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
Kryptonite for Kafka is a client-side 🔒 field level 🔓 cryptography library for Apache Kafka® offering a Kafka Connect SMT, ksqlDB UDFs, and a standalone HTTP API service. It's an ! UNOFFICIAL ! community project
Experiment with Kafka, Debezium, and ksqlDB. research-service: Performs MySQL record manipulation. Source Connectors: Monitor MySQL changes, push messages to Kafka. Sink Connectors and kafka-research-consumer: Listen to Kafka, insert/update Elasticsearch. ksqlDB-Server: Listens to Kafka, performs joins, and pushes new messages to new Kafka topics.
Kafka is not for event sourcing, isn't it? Kafka alone is not an event store, but Kafka and ksqlDB together allow building full-featured event stores. This repository provides a sample of event sourced system that uses Kafka and ksqlDB as event store.
An event-driven monitoring tool that can consume messages from Apache Kafka clusters and display the aggregated data on a dashboard for analysis and maintenance.
Data Engineering examples for Airflow, Prefect, and Mage.ai; dbt for BigQuery, Redshift, ClickHouse, PostgreSQL; Spark/PySpark for Batch processing; and Kafka for Stream processing