What you'll learn

Learn Kafka and its components
Set up an end to end Kafka cluster
Describe the basic and advanced features involved in designing and developing a high throughput messaging system
Use Kafka to produce and consume messages
Understand Kafka Stream

Requirements

Basics of Big Data
Fundamental knowledge of Java concepts is mandatory.

Description

Kafka is an open-source stream processing platform. Kafka can be integrated with Spark, Storm and Hadoop. Learn about Kafka Architecture, setup Kafka Cluster, understand Kafka Stream APIs.

Apache Kafka was originated at LinkedIn and later became an open sourced Apache project in 2011, then First-class Apache project in 2012. Kafka is written in Scala and Java. Apache Kafka is publish-subscribe based fault tolerant messaging system. It is fast, scalable and distributed by design.

This course will explore the principles of Kafka, installation, operations and then it will walk you through with the deployment of Kafka cluster. Finally, we will conclude with real-time applications and integration with Big Data Technologies.

Who this course is for:

Developers, who want to gain acceleration in their career as a "Kafka Big Data Developer"
Testing Professionals, who are currently involved in Queuing and Messaging Systems.
Big Data Architects, who like to include Kafka in their ecosystem.
Project Managers, who are working on projects related to Messaging Systems.