Hadoop Beginner's Guide

More Information
  • The trends that led to Hadoop and cloud services, giving the background to know when to use the technology
  • Best practices for setup and configuration of Hadoop clusters, tailoring the system to the problem at hand
  • Developing applications to run on Hadoop with examples in Java and Ruby
  • How Amazon Web Services can be used to deliver a hosted Hadoop solution and how this differs from directly-managed environments
  • Integration with relational databases, using Hive for SQL queries and Sqoop for data transfer
  • How Flume can collect data from multiple sources and deliver it to Hadoop for processing
  • What other projects and tools make up the broader Hadoop ecosystem and where to go next

Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills.

"Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.

Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.

While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.

In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.

  • Learn tools and techniques that let you approach big data with relish and not fear
  • Shows how to build a complete infrastructure to handle your needs as your data grows
  • Hands-on examples in each chapter give the big picture while also giving direct experience
Page Count 398
Course Length 11 hours 56 minutes
ISBN 9781849517300
Date Of Publication 22 Feb 2013


Garry Turkington

Garry Turkington has over 15 years of industry experience, most of which has been focused on the design and implementation of large-scale distributed systems. In his current role as the CTO at Improve Digital, he is primarily responsible for the realization of systems that store, process, and extract value from the company's large data volumes. Before joining Improve Digital, he spent time at Amazon.co.uk, where he led several software development teams, building systems that process the Amazon catalog data for every item worldwide. Prior to this, he spent a decade in various government positions in both the UK and the USA.