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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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Author (1):
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Ankit Jain Ankit Jain
Author Profile Icon Ankit Jain
Ankit Jain
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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

Storm Integration with Redis, Elasticsearch, and HBase

In the previous chapter, we covered an overview of Apache Hadoop and its various components. We also presented an overview of Storm-YARN, and looked at deploying Storm-YARN on Apache Hadoop.

In this chapter, we will explain how you can integrate Storm with other databases for storing the data, and how we can use Esper inside a Storm bolt to support the windowing operation.

The following are the key points we are going to cover in this chapter:

  • Integration of Storm with HBase
  • Integration of Storm with Redis
  • Integration of Storm with Elasticsearch
  • Integration of Storm with Esper to perform the windowing operation
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