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Mastering Apache Storm

You're reading from   Mastering Apache Storm Real-time big data streaming using Kafka, Hbase and Redis

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781787125636
Length 284 pages
Edition 1st Edition
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Concepts
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Author (1):
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Ankit Jain Ankit Jain
Author Profile Icon Ankit Jain
Ankit Jain
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Toc

Table of Contents (13) Chapters Close

Preface 1. Real-Time Processing and Storm Introduction FREE CHAPTER 2. Storm Deployment, Topology Development, and Topology Options 3. Storm Parallelism and Data Partitioning 4. Trident Introduction 5. Trident Topology and Uses 6. Storm Scheduler 7. Monitoring of Storm Cluster 8. Integration of Storm and Kafka 9. Storm and Hadoop Integration 10. Storm Integration with Redis, Elasticsearch, and HBase 11. Apache Log Processing with Storm 12. Twitter Tweet Collection and Machine Learning

Integrating Storm with Esper

In this section, we are going to cover how we can use the windowing operation inside Storm by using Esper. Esper is an open source event series analysis and event correlation engine for complex event processing (CEP).

Please refer to http://www.espertech.com/products/esper.php to read more details about Esper. Go through the following steps to integrate Storm with Esper:

  1. Create a Maven project using com.stormadvance for the groupID and storm_esper for the artifactID.
  2. Add the following dependencies and repositories in the pom.xml file:
    <dependencies>
<dependency>
<groupId>com.espertech</groupId>
<artifactId>esper</artifactId>
<version>5.3.0</version>
</dependency>
<dependency>
<groupId>junit</groupId>
...
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