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Building Data Streaming Applications with Apache Kafka

You're reading from   Building Data Streaming Applications with Apache Kafka Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787283985
Length 278 pages
Edition 1st Edition
Tools
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Authors (2):
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Chanchal Singh Chanchal Singh
Author Profile Icon Chanchal Singh
Chanchal Singh
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Messaging Systems FREE CHAPTER 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 covered different Kafka security paradigms. Our goal with this chapter is to ensure that you understand different paradigms of securing Kafka. We wanted you to first understand what are different areas you should evaluate while securing Kafka. After that, we wanted to address how parts of securing Kafka. One thing to note here is that Authentication and Authorization is something you have to always implement in a secure Kafka cluster. Without these two, your Kafka cluster is not secure. SSL can be optional but is strongly recommended for highly sensitive data. Please keep not of best practices of securing Kafka as these are more gathered from practical industry implementation experiences of securing Kafka.

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