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Hadoop 2.x Administration Cookbook

You're reading from  Hadoop 2.x Administration Cookbook

Product type Book
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Pages 348 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Aman Singh Aman Singh
Profile icon Aman Singh
LinkedIn
Gurmukh Singh is a seasoned technology professional with 14+ years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. He has worked in big data domain for the last 5 years and provides consultancy and training on various technologies. He has worked with companies such as HP, JP Morgan, and Yahoo. He has authored Monitoring Hadoop by Packt Publishing
See other products by Aman Singh

Table of Contents (20) Chapters

Hadoop 2.x Administration Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Hadoop Architecture and Deployment Maintaining Hadoop Cluster HDFS Maintaining Hadoop Cluster – YARN and MapReduce High Availability Schedulers Backup and Recovery Data Ingestion and Workflow Performance Tuning HBase Administration Cluster Planning Troubleshooting, Diagnostics, and Best Practices Security Index

Estimating the cost of the Hadoop cluster

In this recipe, we will estimate the costing for the Hadoop cluster and see what factors to a take into account. The exact figures can vary according to the hardware and software choices.

The Hadoop cluster is a combination of servers, network components, power consumption, man hours to maintain it, software license costs, and cooling costs.

How to do it...

In this recipe, there is nothing to execute or do by logging into the cluster, but it is more of an estimation which will be governed by the following mentioned factors.

Each server in the Hadoop cluster will at least fall into three categories: Master nodes, Datanodes, and Edge nodes.

Costing master nodes: Intensive on memory and CPU, but need less of disk space.

  • Two OS disks in Raid 1 configuration

  • Two disks for logs and two disks for Namenode metadata

  • At least two network cards bounded together with minimum 1 Gbps

  • RAM 128 GB, higher if the HBase master is co-located on a Namenode

  • CPU cores per master...

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Authors (1)

Profile icon Aman Singh
LinkedIn
Gurmukh Singh is a seasoned technology professional with 14+ years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. He has worked in big data domain for the last 5 years and provides consultancy and training on various technologies. He has worked with companies such as HP, JP Morgan, and Yahoo. He has authored Monitoring Hadoop by Packt Publishing
See other products by Aman Singh

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