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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
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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

Introduction to Apache Storm

Apache Storm is used to handle very sensitive applications where even a delay of 1 second can mean huge losses. There are many companies using Storm for fraud detection, building recommendation engines, triggering suspicious activity, and so on. Storm is stateless; it uses Zookeeper for coordinating purposes, where it maintains important metadata information.

Apache Storm is a distributed real-time processing framework which has the ability to process a single event at a time with millions of records being processed per second per node. The streaming data can be bounded or unbounded; in both situations Storm has the capability to reliably process it.

Storm cluster architecture

Storm also...

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