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👾Scripts and samples to support Confluent Demos and Talks up until Oct '24. ⚠️ No longer maintained 👉For automated tutorials and QA'd code, see https://github.com/confluentinc/examples/
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
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.
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
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.
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.
Data Engineering examples covering Airflow and Mage for workflows; dbt for BigQuery, Redshift, ClickHouse; Spark and Kafka for Batch/Streaming Processing