Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Hadoop Beginner's Guide

You're reading from   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 ‚Äì just a willingness to learn the basics from this practical step-by-step tutorial.

Arrow left icon
Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
Arrow right icon
Toc

Table of Contents (19) Chapters Close

Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. What It's All About 2. Getting Hadoop Up and Running FREE CHAPTER 3. Understanding MapReduce 4. Developing MapReduce Programs 5. Advanced MapReduce Techniques 6. When Things Break 7. Keeping Things Running 8. A Relational View on Data with Hive 9. Working with Relational Databases 10. Data Collection with Flume 11. Where to Go Next Pop Quiz Answers Index

Chapter 1. What It's All About

This book is about Hadoop, an open source framework for large-scale data processing. Before we get into the details of the technology and its use in later chapters, it is important to spend a little time exploring the trends that led to Hadoop's creation and its enormous success.

Hadoop was not created in a vacuum; instead, it exists due to the explosion in the amount of data being created and consumed and a shift that sees this data deluge arrive at small startups and not just huge multinationals. At the same time, other trends have changed how software and systems are deployed, using cloud resources alongside or even in preference to more traditional infrastructures.

This chapter will explore some of these trends and explain in detail the specific problems Hadoop seeks to solve and the drivers that shaped its design.

In the rest of this chapter we shall:

  • Learn about the big data revolution

  • Understand what Hadoop is and how it can extract value from data

  • Look into cloud computing and understand what Amazon Web Services provides

  • See how powerful the combination of big data processing and cloud computing can be

  • Get an overview of the topics covered in the rest of this book

So let's get on with it!

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image