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Building Data Streaming Applications with Apache Kafka

You're reading from   Building Data Streaming Applications with Apache Kafka Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787283985
Length 278 pages
Edition 1st Edition
Tools
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Authors (2):
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Chanchal Singh Chanchal Singh
Author Profile Icon Chanchal Singh
Chanchal Singh
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Messaging Systems FREE CHAPTER 2. Introducing Kafka the Distributed Messaging Platform 3. Deep Dive into Kafka Producers 4. Deep Dive into Kafka Consumers 5. Building Spark Streaming Applications with Kafka 6. Building Storm Applications with Kafka 7. Using Kafka with Confluent Platform 8. Building ETL Pipelines Using Kafka 9. Building Streaming Applications Using Kafka Streams 10. Kafka Cluster Deployment 11. Using Kafka in Big Data Applications 12. Securing Kafka 13. Streaming Application Design Considerations

Kafka cluster internals

Well, this topic has been covered in bits and pieces in the introductory chapters of this book. However, in this section, we are covering this topic with respect to components or processes that play an important role in Kafka cluster. We will not only talk about different Kafka cluster components but will also cover how these components communicate with each other via Kafka protocols.

Role of Zookeeper

Kafka clusters cannot run without Zookeeper servers, which are tightly coupled with Kafka cluster installations. Therefore, you should first start this section by understanding the role of Zookeeper in Kafka clusters.

If we must define the role of Zookeeper in a few words, we can say that Zookeeper acts...

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