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This course provides an introduction to Apache Kafka, including architecture, use cases for Kafka, topics and partitions, working with Kafka from the command line, producers and consumers, consumer groups, Kafka messaging order, creating producers and consumers using the Java API. The course also covers integrating Flume and Kafka topics including configuring Flume as a Kafka producer, and configuring Flume as a Kafka consumer.

Audience & Prerequisites

Introduction to Apache Kafka does not have prerequisites, but student must know Java to understand the API material covered. .

Please note that this course does not teach big data concepts, nor does it cover how to use Cloudera software. Instead, it is meant as a follow up to our Developer Training for Spark and Hadoop course.


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Scala and Python developers will learn key concepts and gain the expertise needed to ingest and process data, and develop high-performance applications using Apache Spark 2.

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Cloudera Developer Training was great. I believe Cloudera is the best vendor evangelizing the big data movement. Thanks for all your help getting me started on this journey.

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CCA Spark and Hadoop Developer Certification

This course, along with the Developer Training for Spark and Hadoop, is excellent preparation for the CCA Spark and Hadoop Developer exam. Although we recommend further training and hands-on experience before attempting, both courses are foundational for passing the exam. 

Certification is a great differentiator. It helps establish you as a leader in the field, providing employers and customers with tangible evidence of your skills and expertise.

Advance Your Career

Big data developers are among the world's most in-demand and highly-compensated technical roles. Check out some of the job opportunities currently listed that match the professional profile, many of which seek CCA qualification.

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We also provide private training at your site, at your pace, and tailored to your needs.

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