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Learning YARN

You're reading from   Learning YARN Moving beyond MapReduce - learn resource management and big data processing using YARN

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Product type Paperback
Published in Aug 2015
Publisher
ISBN-13 9781784393960
Length 278 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (14) Chapters Close

Preface 1. Starting with YARN Basics FREE CHAPTER 2. Setting up a Hadoop-YARN Cluster 3. Administering a Hadoop-YARN Cluster 4. Executing Applications Using YARN 5. Understanding YARN Life Cycle Management 6. Migrating from MRv1 to MRv2 7. Writing Your Own YARN Applications 8. Dive Deep into YARN Components 9. Exploring YARN REST Services 10. Scheduling YARN Applications 11. Enabling Security in YARN 12. Real-time Data Analytics Using YARN Index

The integration of Storm with YARN

Storm is a distributed computational and processing framework, which was developed to process streaming data in real time. It has been released as open source. It is useful for continuous monitoring of processes and running machine learning algorithms. Storm can process millions of records per second on a single node and is widely used for low-latency processing.

Storm has two main services: Nimbus (master) and Supervisor (slave). Storm requires Zookeeper component for co-ordination between the Nimbus and Supervisor services. The Storm bundle contains a storm.yaml configuration file. The file contains information related to the Nimbus server and the Zookeeper quorum. Similar to Spark, this book does not focus on the architecture and the components of Storm. To read more about Storm, you can refer to the official website at https://storm.apache.org/.

Companies such as GroupOn, The Weather Channel, Twitter, Yahoo, and so on are using Storm. To get the full...

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