Book Image

Hadoop Operations and Cluster Management Cookbook

By : Shumin Guo
Book Image

Hadoop Operations and Cluster Management Cookbook

By: Shumin Guo

Overview of this book

<p>We are facing an avalanche of data. The unstructured data we gather can contain many insights that could hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop is one of the most highly sought after skills in today's job market. Hadoop, by combining the computing and storage powers of a large number of commodity machines, solves this problem in an elegant way!</p> <p>Hadoop Operations and Cluster Management Cookbook is a practical and hands-on guide for designing and managing a Hadoop cluster. It will help you understand how Hadoop works and guide you through cluster management tasks.</p> <p>This book explains real-world, big data problems and the features of Hadoop that enables it to handle such problems. It breaks down the mystery of a Hadoop cluster and will guide you through a number of clear, practical recipes that will help you to manage a Hadoop cluster.</p> <p>We will start by installing and configuring a Hadoop cluster, while explaining hardware selection and networking considerations. We will also cover the topic of securing a Hadoop cluster with Kerberos, configuring cluster high availability and monitoring a cluster. And if you want to know how to build a Hadoop cluster on the Amazon EC2 cloud, then this is a book for you.</p>
Table of Contents (15 chapters)
Hadoop Operations and Cluster Management Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Choosing hardware for cluster nodes


A Hadoop cluster contains two types of nodes: a master node and a slave node. By default, the NameNode, SecondaryNameNode, and JobTracker daemons reside on a master node, and DataNode and TaskTracker daemons reside on slave nodes. Properly selecting hardware for these computing and storage nodes can maximize the efficiency of a Hadoop cluster. In this recipe, we will list suggestions on hardware selection for a computing node.

How to do it...

Although special requirements exist for a master node and a slave node, there is no gold standard for choosing optimal hardware for both types of nodes. It is reasonable to say that the hardware configuration is closely related to the properties of Big Data to be processed. In addition, the choice of hardware is an empirical and adaptive process with the changing requirements on a Hadoop cluster. For example, if the requirements for the throughput of a Hadoop cluster are high, we might need to choose high-end CPUs and...