By Shumin Guo
Over 60 recipes exhibiting you the way to layout, configure, deal with, display screen, and music a Hadoop cluster
Overview
- Hands-on recipes to configure a Hadoop cluster from naked steel nodes
- Practical and extensive rationalization of cluster administration commands
- Easy-to-understand recipes for securing and tracking a Hadoop cluster, and layout considerations
- Recipes displaying you ways to track the functionality of a Hadoop cluster
- Learn the way to construct a Hadoop cluster within the cloud
In Detail
We are dealing with an avalanche of information. The unstructured facts we assemble can include many insights that may carry the main to company good fortune or failure. Harnessing the power to research and technique this information with Hadoop is without doubt one of the so much hugely wanted talents in modern-day activity marketplace. Hadoop, via combining the computing and garage powers of a big variety of commodity machines, solves this challenge in a sublime way!
Hadoop Operations and Cluster administration Cookbook is a realistic and hands-on advisor for designing and coping with a Hadoop cluster. it's going to assist you know the way Hadoop works and advisor you thru cluster administration tasks.
This e-book explains real-world, mammoth information difficulties and the gains of Hadoop that permits it to deal with such difficulties. It breaks down the secret of a Hadoop cluster and may consultant you thru a couple of transparent, sensible recipes that can assist you to regulate a Hadoop cluster.
We will commence by way of fitting and configuring a Hadoop cluster, whereas explaining choice and networking issues. we'll additionally conceal the subject of securing a Hadoop cluster with Kerberos, configuring cluster excessive availability and tracking a cluster. And so that it will understand how to construct a Hadoop cluster at the Amazon EC2 cloud, then this can be a ebook for you.
What you'll examine from this book
- Defining your mammoth information problem
- Designing and configuring a pseudo-distributed Hadoop cluster
- Configuring a completely dispensed Hadoop cluster and tuning your Hadoop cluster for greater performance
- Managing the DFS and MapReduce cluster
- Configuring Hadoop logging, auditing, and activity scheduling
- Hardening the Hadoop cluster with defense and entry keep an eye on methods
- Monitoring a Hadoop cluster with instruments similar to Chukwa, Ganglia, Nagio, and Ambari
- Setting up a Hadoop cluster at the Amazon cloud
Approach
Solve particular difficulties utilizing person self-contained code recipes, or paintings throughout the publication to strengthen your services. This booklet is jam-packed with easy-to-follow code and instructions used for representation, which makes your studying curve effortless and quick.
Who this ebook is written for
If you're a Hadoop cluster procedure administrator with Unix/Linux procedure administration event and also you want to get an excellent grounding in how one can organize and deal with a Hadoop cluster, then this publication is for you. It’s assumed that you'll have a few event in Unix/Linux command line already, in addition to being acquainted with community communique basics.
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Extra resources for Hadoop Operations and Cluster Management Cookbook
Sample text
Hadoop Operations and Cluster Management Cookbook provides examples and step-by-step recipes for you to administrate a Hadoop cluster. It covers a wide range of topics for designing, configuring, managing, and monitoring a Hadoop cluster. The goal of this book is to help you manage a Hadoop cluster more efficiently and in a more systematic way. In the first three chapters, you will learn practical recipes to configure a fully distributed Hadoop cluster. The subsequent management, hardening, and performance tuning chapters will cover the core topics of this book.
These racks are then interconnected with more advanced switches. Nodes on the same rack can be interconnected with a 1 GBps (Gigabyte per second) Ethernet switch. Cluster level switches then connect the rack switches with faster links, such as 10 GBps optical fiber links, and other networks such as InfiniBand. The cluster-level switches may also interconnect with other cluster-level switches or even uplink to another higher level of switching infrastructure. With the increasing size of a cluster, the network, at the same time, will become larger and more complex.
See also The Building a Hadoop-based Big Data platform recipe Building a Hadoop-based Big Data platform Hadoop was first developed as a Big Data processing system in 2006 at Yahoo! The idea is based on Google's MapReduce, which was first published by Google based on their proprietary MapReduce implementation. In the past few years, Hadoop has become a widely used platform and runtime environment for the deployment of Big Data applications. In this recipe, we will outline steps to build a Hadoop-based Big Data platform.