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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

At the end of this chapter, you should have a clear understanding of various design considerations for streaming applications. Our goal with this chapter was to ensure that you have understood various complex aspects of a streaming application design.

Although the aspects may vary from project to project, based on our industry experience, we feel that these are some of the common aspects that you will end up considering in any streaming application design. For example, you cannot design any streaming application without defining SLAs around latency and throughput.

You can use these principals irrespective of your choice of technology for stream processing--be it micro-batch Spark streaming applications or real-time Storm/Heron stream processing applications. They are technology agnostic. However, the way they can be achieved varies from technology to technology. With this...

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