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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 1. Introduction to Messaging Systems 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

Introducing Kafka the Distributed Messaging Platform

In this chapter, we will introduce Kafka, a widely adopted scalable, performant, and distributed messaging platform. We will touch-base on different Kafka components and how they work in coherence to achieve reliable message delivery. You should see this chapter as a foundation chapter on Kafka that will help you establish familiarity with the systems involved. This chapter will help you better grasp the next chapters, which cover various Kafka components in detail. At the end of this chapter, you will have a clear understanding of Kafka's architecture and fundamental components of the Kafka messaging system.

We will cover the following topics in this chapter:

  • Kafka origins
  • Kafka's architecture
  • Message topics
  • Message partitions
  • Replication and replicated logs
  • Message producers
  • Message consumers
  • Role of Zookeeper
...
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