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Building Data Streaming Applications with Apache Kafka

You're reading from  Building Data Streaming Applications with Apache Kafka

Product type Book
Published in Aug 2017
Publisher Packt
ISBN-13 9781787283985
Pages 278 pages
Edition 1st Edition
Languages
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details

Table of Contents (14) Chapters

Preface Introduction to Messaging Systems Introducing Kafka the Distributed Messaging Platform Deep Dive into Kafka Producers Deep Dive into Kafka Consumers Building Spark Streaming Applications with Kafka Building Storm Applications with Kafka Using Kafka with Confluent Platform Building ETL Pipelines Using Kafka Building Streaming Applications Using Kafka Streams Kafka Cluster Deployment Using Kafka in Big Data Applications Securing Kafka 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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