Master Apache Kafka Streams in Neo4j

Learn how Neo4j can be used to integrate with Kafka using Neo4j Streams.
This module teaches you change-data-capture and ingestion capabilities for a Neo4j application using Apache Kafka so you can integrate real-time streaming with graph querying and analytics.
You will perform hands-on exercises using pre-configured Docker containers; allowing you, in the end, to understand how to integrate Neo4j in a Polyglot architecture by using Apache Kafka.

Prerequisites:
- A notebook with Docker and Docker compose installed;
- Basic Apache Kafka knowledge;
- Cypher coding experience;
- Some programming experience in Java.

At the completion of this training, you should be able to:
- Stream Data from Neo4j to Kafka via the Change Data Capture
- Ingesting the Data with the Neo4j Sink from Kafka by using the strategy that mostly fits with your use-case
- Learn about different strategies you can use
- Use the Neo4j Streams procedures in order to Publish/Consume data to/from Apache Kafka

NOTE:
Prior to this training session, please review the setup instructions for setting up your laptop to perform the hands-on exercises.

https://graphacademy.neo4j.com/setup/training_ApacheKafkaStreamsInNeo4j.html

The downloads for this setup will take approximately 1.5 hours!