👾Scripts and samples to support Confluent Demos and Talks. ⚠️Might be rough around the edges ;-) 👉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
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.
ksqlDb.RestApi.Client is a C# LINQ-enabled client API for issuing and consuming ksqlDB push queries and executing statements. SqlServer.Connector is a client API for consuming row-level table changes (CDC - Change Data Capture) from Sql Server databases with the Debezium connector streaming platform.
The goal of this project is to play with Kafka, Debezium and ksqlDB. For this, we have: research-service that inserts/updates/deletes records in MySQL; Source Connectors that monitor change of records in MySQL and push messages related to those changes to Kafka; Sink Connectors and kafka-research-consumer that listen messages from Kafka and insert/update documents in Elasticsearch; finally, ksqlDB-Server that listens to some topics in Kafka, does some joins and pushes new messages to new topics in Kafka.
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.
Analyze Zeek IDS data with ksqlDB running on Confluent Platform via Docker on your laptop. Or spin up an arbitrary number of AWS hosts, each running Confluent Platform and ksqlDB for use in an instructor-led workshop.
