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You're reading from  Mastering Apache Storm

Product typeBook
Published inAug 2017
Reading LevelExpert
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ISBN-139781787125636
Edition1st Edition
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Author (1)
Ankit Jain
Ankit Jain
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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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Integration of Storm with Hadoop


The probability that the organizations developing and operating big data applications already have a Hadoop cluster deployed is very high. Also, there is a high possibility that they also have real-time stream processing applications deployed to go along with the batch applications running on Hadoop.

It would be great if we can leverage the already deployed YARN cluster to also run the Storm topologies. This will reduce the operational cost of maintenance by giving you only one cluster to manage instead of two.

Storm-YARN is a project developed by Yahoo! that enables the deployment of Storm topologies over YARN clusters. It enables the deployment of Storm processes on nodes managed by YARN.

The following diagram illustrates how the Storm processes are deployed on YARN:

Figure 6: Storm processes on YARN

In the next section, we will see how to set up Storm-YARN.

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Mastering Apache Storm
Published in: Aug 2017Publisher: ISBN-13: 9781787125636

Author (1)

author image
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.
Read more about Ankit Jain