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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

Using Kafka with Confluent Platform

In the last chapter, we learned about Apache Storm and Apache Heron. We also went through Integrating Kafka with Storm. In this chapter, we will focus on Confluent Platform, which is specially designed to make Kafka more efficient to use in production application.

We will walk through the following topics in this chapter:

  • Introduction to Confluent Platform
  • Confluent architecture
  • Kafka Connectors and Kafka Streams
  • Schema Registry and REST proxy
  • Camus - moving Kafka data to HDFS
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