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Hadoop 2.x Administration Cookbook

You're reading from Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

Product type Paperback

Published in May 2017

Publisher Packt

ISBN-13 9781787126732

Length 348 pages

Edition 1st Edition

Tools

Hadoop

Concepts

System Administration

Author (1):

Aman Singh

View More author details

Table of Contents (14) Chapters

Preface

1. Hadoop Architecture and Deployment FREE CHAPTER

2. Maintaining Hadoop Cluster HDFS

3. Maintaining Hadoop Cluster – YARN and MapReduce

4. High Availability

5. Schedulers

6. Backup and Recovery

7. Data Ingestion and Workflow

8. Performance Tuning

9. HBase Administration

10. Cluster Planning

11. Troubleshooting, Diagnostics, and Best Practices

12. 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)

Aman Singh

Aman Singh

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

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