Cloudera Training for Apache Kafka

Cloudera Training for Apache Kafka

Summary

Cloudera Training for Apache Kafka

Description

This four-day instructor-led course begins by introducing Apache Kafka, explaining its key concepts and architecture, and discussing several common use cases. Building on this foundation, you will learn how to plan a Kafka deployment, and then gain hands-on experience by installing and configuring your own cloud-based, multi-node cluster running Kafka on the Cloudera Data Platform (CDP).

You will then use this cluster during more than 20 hands-on exercises that follow, covering a range of essential skills, starting with how to create Kafka topics, producers, and consumers, then continuing through progressively more challenging aspects of Kafka operations and development, such as those related to scalability, reliability, and performance problems. Throughout the course, you will learn and use Cloudera’s recommended tools for working with Kafka, including Cloudera Manager, Schema Registry, Streams Messaging Manager, and Cruise Control.

Download the full course outline

Duration

4 Days

Objectives

During this course, you learn how to:

• Plan, deploy, and operate Kafka clusters

• Create and manage topics

• Develop producers and consumers

• Use replication to improve fault tolerance

• Use partitioning to improve scalability

• Troubleshoot common problems and performance issues

Prerequisites

This course is designed for system administrators, data engineers, and developers. All students are expected to have basic Linux experience, and basic proficiency with the Java programming language is recommended. No prior experience with Apache Kafka is necessary.

Additional Notes

Upcoming Classes

Online

Instructor-led online training

Location Nov 2021 Dec 2021 Jan 2022 Feb 2022
Virtual Classroom, AMER (Central) Dec 14 – Dec 17
Virtual Classroom, APAC (Singapore) Jan 31 – Feb 3

Classes in bold are guaranteed to run!

Spain

Location Nov 2021 Dec 2021 Jan 2022 Feb 2022
Spain, Madrid (PUE) Feb 14 – Feb 17

Classes in bold are guaranteed to run!