Throughout the course, hands-on exercises reinforce the topics being discussed.
Using Kafka’s command-line tools
Using Kafka’s administrative tools
Tuning Producer and Consumer performance
Securing the cluster
Building data pipelines with Kafka Connect
Attendees should have a working knowledge of the Kafka architecture, either through:
Prior experience, or
By taking Confluent Fundamentals for Apache Kafka®, which can be accessed here.
It is also important to have strong knowledge of Linux/Unix and understand basic TCP/IP networking concepts. Familiarity with Java Virtual Machine (JVM) is helpful.
Participants are required to provide a laptop computer with unobstructed internet access to fully participate in the class.
Apache, Apache Kafka, Apache Spark, Apache Trino, Apache Iceberg, Apache Hive, Kafka, Spark, Trino, Iceberg, Hive, and other associated open-source project names are the Apache Software Foundation trademarks. Starburst, Starburst Data, Starburst Enterprise, and Starburst Galaxy are registered trademarks of Starburst Data, Inc. All rights reserved. DataCouch is not affiliated with, endorsed by, or otherwise associated with the Apache Software Foundation (ASF) or any of its projects.
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