Items related to Hadoop Beginner's Guide
Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services - just a willingness to learn the basics from this practical step-by-step tutorial.
Overview
- 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.
In Detail
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.
What you will learn from this book
- 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
Approach
As a Packt Beginner's Guide, the book is packed with clear step-by-step instructions for performing the most useful tasks, getting you up and running quickly, and learning by doing.
Who this book is written for
This book assumes no existing experience with Hadoop or cloud services. It assumes you have familiarity with a programming language such as Java or Ruby but gives you the needed background on the other topics.
"synopsis" may belong to another edition of this title.
About the Author:
Garry Turkington
Garry Turkington has 14 years of industry experience, most of which has been focused on the design and implementation of large-scale distributed systems. In his current roles as VP Data Engineering at Improve Digital and the company’s lead architect 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 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 USA.
He has BSc and PhD degrees in computer science from the Queens University of Belfast in Northern Ireland and a MEng in Systems Engineering from Stevens Institute of Technology in the USA.
"About this title" may belong to another edition of this title.
- PublisherShroff Publishers & Distributors Pvt Ltd
- Publication date2013
- ISBN 10 935110110X
- ISBN 13 9789351101109
- BindingPaperback
- Number of pages374
- Rating
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