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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
Languages
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

Summary

In this section, we covered how we can read Twitter tweets using the Twitter streaming API, how we can process the tweets to calculate the tweet text from inputted JSON records, calculate the sentiments of the tweets, and store the final output in HDFS.

With this, we come to the end of this book. Over the course of this book, we have come a long way from taking our first steps with Apache Storm to developing real-world applications with it. Here, we would like to summarize everything that we have learned.

We introduced you to the basic concepts and components of Storm, and covered how we can write and deploy/run the topology in both local and clustered mode. We also walked through the basic commands of Storm, and covered how we can modify the parallelism of the Storm topology at runtime. We also dedicated an entire chapter to monitoring Storm, which is an area often neglected...

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