Packt is pleased to announce the release of its new book, Apache Kafka, a quick learning guide that features innovative ways to use Kafka for messaging and enables readers to integrate Kafka with other tools such as Hadoop and Storm. This eBook is available in all the popular electronic formats such as Amazon, Kindle, e-pub, and PDF. It's 88 pages long and competitively priced at $20.99.
About the author:
Nishant Garg is a Technical Architect with more than 13 years' experience in various technologies such as Java Enterprise Edition, Spring, Hibernate, Hadoop, Spark, Kafka, Storm, and Mahout. He pursued his Master's in M. S. Software Systems and is currently a part of the Big Data R&D team in the innovation labs at Impetus Infotech Pvt. Ltd. He has worked with reputed names in IT services and financial industries and is a frequent speaker on Big Data Technologies.
Apache Kafka is a publish-subscribe messaging system written in Java and developed by the Apache Software Foundation. Kafka is designed to be scalable and distributed and integrates with tools such as Hadoop and Storm for streaming data.
Apache Kafka is a hands-on guide filled with practical illustrations for setting up Kafka clusters and shows the reader how Kafka blocks fit together to leverage Big Data and stream it to multiple consumers in a few seconds. It further explains the use of administration tools and how replication works in Kafka.
This book gives an overview of consumer configuration and the use of Kafka tools. It is a beginner’s guide for software developers and can be used by application developers and Big Data enthusiasts who have initially worked with other publisher-subscriber-based systems.
Packt is one of the most prolific and fastest-growing tech book publishers in the world. Originally focused on open source software, Packt books focus on practicality, recognizing that readers are ultimately concerned with getting the job done. Packt’s digitally-focused business model allows them to publish up-to-date books in very specific areas.
|Learn to set up Kafka clusters and custom message producers and consumers