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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 in Big Data Applications

In the earlier chapters, we covered how Kafka works, what kind of different components Kafka has, and what some of the Kafka tools that we can utilize for some specific use cases are. In this chapter, our focus is on understanding the importance of Kafka in big data applications. Our intention is for you to understand how Kafka can be used in any big data use cases and what are different types of design aspects you should keep in mind while using Kafka in this manner.

Kafka is becoming the standard tool for messaging in big data applications. There are some specific reasons for it. One of the reasons for it is that we can not use databases as the one-stop destination for all. Earlier, due to lack of elegant storage systems, databases tend to be the only solution for any type of data store. If you use a database, over a period of time, the system...

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