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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
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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

Streaming Application Design Considerations

Streaming is becoming an important pillar for organizations dealing with big data nowadays. More and more organizations are leaning toward faster actionable insights from the massive data pool that they have. They understand that timely data and appropriate actions based on those timely data insights has a long-lasting impact on profitability. Apart from in-time actions, streaming opens channels to capture unbound, massive amounts of data from different business units across an organization.

Keeping these important benefits in mind, this chapter focuses on factors that one should keep in mind while designing any streaming application. The end results of any such design are driven by organization business goals. Controlling these factors in any streaming application design helps achieving those defined goals appropriately. In lieu of...

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