Rating:
(7 reviews)
Author: Garry Turkington
ISBN : B00BKXQT8S
New from $18.49
Format: PDF, EPUB
Download file now Hadoop Beginner's Guide Free Download from 4shared, mediafire, hotfile, and mirror link
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.
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 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.
Download latest books on mediafire and other links compilation Hadoop Beginner's Guide Free Download
- File Size: 5515 KB
- Print Length: 398 pages
- Publisher: Packt Publishing (February 22, 2013)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B00BKXQT8S
- Text-to-Speech: Enabled
X-Ray:
- Lending: Not Enabled
- Amazon Best Sellers Rank: #276,155 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
Hadoop Beginner's Guide Free Download
'Hadoop Beginner's Guide' by Gary Turkington is a book that helps walk beginners through understanding Hadoop and how to go about using it.
The first two chapters are introductory and cover what Hadoop is and how to install it. The second chapter also walks you through writing a couple basic MapReduce jobs.
Chapters 3, 4 and 5 take you deeper into MapReduce. It starts out where with small simple code and then goes on to more advanced topics such as joining different data sets.
Chapters 6 and 7 are on the administrative side and help you understand what to do when things start breaking and how to keep things running smoothly.
Chapters 8, 9 and 10 take you on a journey of some of the tools in the Hadoop ecosystem. Hive (chapter 8) and Sqoop (chapter 9) are tools that you will find yourself working with if you're more of a relational person or you need to connect Hadoop to your RDBMS. Flume (chapter 10) is a way for moving log data from remote servers into HDFS (among other things).
The last chapter talks about various things such as the different vendor distributions out there, other tools in the ecosystem and where you can find more information to continue on your journey.
As others have stated, there are some errors in the book's code. These are easily overcome by looking at the errata or a quick Google search. Sure it would be great if the book was perfect, but then I don't think that I've read a book that didn't have errors in it. Besides, trying to fix the errors that are presented, can sometimes make you learn more than you would have if everything was just copied and pasted.
I read this book "out of context", meaning that I didn't have an interesting problem solvable by MapReduce at hand and a dire need to learn Hadoop at the time of reading. Instead, I took time to read this book with the purpose of determining whether it's a good beginner book or not. All in all, I'd say that it is. The author really succeeds in creating a context for Hadoop and its ecosystem.
From the second chapter and onwards, Hadoop is gradually introduced using very detailed instructions. The general format for doing this is by listing every single command the user needs to type and its output, so the book is full of terminal session listings. All such listings are followed by sections called "What just happened?" that explain in detail the purpose of the commands and their output. This is actually quite helpful for readers who understand what's happening from just looking at the session listing; such readers can safely skip these sections.
The above approach should enable any reader, regardless of level of experience, to follow along and do the exercises or labs, which is a good thing for a beginner book. I have a remark about this though: the session dumps could have been proofread better! I can't say that I read them through a magnifying glass, but still I found quite a few errors.
As for the contents, the book never shows the monster! In my opinion, the introductory chapter fails to actually establish a case for Hadoop and MapReduce. Yes, it's about big data, scaling and problems and so on, but I couldn't find a logical transition to Hadoop as a solution to these problems. Instead, chapter two illustrates the framework with a distributed calculation of pi and the word counting program (Hadoop's version of the "Hello world" program).