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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
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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 consumer internals

In this section of the chapter, we will cover different Kafka consumer concepts and various data flows involved in consuming messages from Kafka queues. As already mentioned, consuming messages from Kafka is a bit different from other messaging systems. However, when you are writing consumer applications using consumer APIs, most of the details are abstracted. Most of the internal work is done by Kafka consumer libraries used by your application.

Irrespective of the fact that you do not have to code for most of the consumer internal work, you should understand these internal workings thoroughly. These concepts will definitely help you in debugging consumer applications and also in making the right application decision choices.

Understanding the responsibilities...

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