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Mastering Apache Storm

You're reading from Mastering Apache Storm

Product type Book

Published in Aug 2017

Publisher

ISBN-13 9781787125636

Pages 284 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Author (1):

Ankit Jain

Table of Contents (19) Chapters

Title Page

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Real-Time Processing and Storm Introduction

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 chapter, we have shed some light on how we can define the parallelism of Storm, how we can distribute jobs between multiple nodes, and how we can distribute data between multiple instances of a bolt. The chapter also covered two important features: guaranteed message processing and the tick tuple.

In the next chapter, we are covering the Trident high-level abstraction over Storm. Trident is mostly used to solve the real-time transaction problem, which can't be solved through plain Storm.

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Authors (1)

Ankit Jain

Ankit Jain holds a bachelor's degree in computer science and engineering. He has 6 years, experience in designing and architecting solutions for the big data domain and has been involved with several complex engagements. His technical strengths include Hadoop, Storm, S4, HBase, Hive, Sqoop, Flume, Elasticsearch, machine learning, Kafka, Spring, Java, and J2EE. He also shares his thoughts on his personal blog. You can follow him on Twitter at @mynameisanky. He spends most of his time reading books and playing with different technologies. When not at work, he spends time with his family and friends watching movies and playing games.

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