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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

Summary 

In this chapter, we learned about Kafka Connect in detail. We also learned about how we can explore Kafka for an ETL pipeline. We covered examples of JDBC import and export Connector to give you a brief idea of how it works. We expect you to run this program practically to get more insight into what happens when you run Connectors.

In the next chapter, you will learn about Kafka Stream in detail, and we will also see how we can use Kafka stream API to build our own streaming application. We will explore the Kafka Stream API in detail and focus on its advantages.

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