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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

Summary

We have come to the end of this chapter, and by now you should have a basic understanding of the Kafka messaging system. An important aspect of mastering any system is that you should understand the system end to end at a high level first. This will put you in a better position when you understand individual components of the system in detail. You can always establish the logical connection with end-to-end system understanding and understand why individual components are designed in a particular way. In this chapter, our goal was the same.

We started by discovering why Kafka was built in the first place. We have put forward problems in LinkedIn systems that led to the creation of Kafka. That section will give you a very clear understanding of the types of problem that Kafka can solve.

We further covered Kafka's logical and system architecture. Putting Kafka architecture...

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