Get Free Ebook Hadoop ~ minnie-worldx.blogspot.com

Get Free Ebook Hadoop

Why should think extra? Checking out a book will not invest or squander your time, will you? You can really establish your time to manage when and also where you could take pleasure in reading this publication. Also you still have the other responsibilities or books to check out, you can also make inter-spaced to try analysis this book. It will actually enhance your mind and also thought. So, if there is a better publication to read, why do not try it? Let enhance your thought and also experience of checking out lots of publications from the broads.

Hadoop

Get Free Ebook Hadoop

Basic method to obtain the impressive book from skilled writer? Why not? The method is really basic if you obtain the book right here. You need just guide soft data right here. It is based upon the links that are published in this website. By visiting the link, you could gain guide directly. As well as right here, you will certainly learn many sort of the books created by the specialist authors from all world locations.

Yeah, when aiming to read a new publication as this Hadoop, you could start from specific time and place. Building interest in reading this book or every publication is needed. The soft documents of this book that is supplied will be saved in such particular library. If you actually have willing to read it, just comply with the kindness of the life. It will certainly boost your top quality of the life however is the duty. To see how you can get the book, this is much advised to immediately. You can take different time of the begin to read.

Own this book as soon as possible after ending up read this website page. By possessing this publication, you can have time to spare to review it certainly. Even you will not be able to finish it in other words time, this is your opportunity to transform your life to be better. So, why don't you save your time even sticks out few in a day? You could read it when you have extra time in your workplace, when remaining in a bus, when going to home before sleeping, and also a lot more others.

This is likewise among the reasons by getting the soft data of this Hadoop by online. You could not require even more times to invest to check out guide store and also search for them. Sometimes, you also don't locate the book Hadoop that you are hunting for. It will throw away the time. Yet right here, when you visit this page, it will certainly be so simple to obtain and download and install the publication Hadoop It will not take sometimes as we explain previously. You could do it while doing another thing at home or even in your office. So very easy! So, are you doubt? Simply practice exactly what we provide below and check out Hadoop exactly what you enjoy to read!

Book Description

MapReduce for the Cloud

About the Author

Tom White has been an Apache Hadoop committer since February 2007, and is a member of the Apache Software Foundation. He works for Cloudera, a company set up to offer Hadoop support and training. Previously he was as an independent Hadoop consultant, working with companies to set up, use, and extend Hadoop. He has written numerous articles for O'Reilly, java.net and IBM's developerWorks, and has spoken at several conferences, including at ApacheCon 2008 on Hadoop. Tom has a Bachelor's degree in Mathematics from the University of Cambridge and a Master's in Philosophy of Science from the University of Leeds, UK.

Product details

Paperback: 528 pages

Publisher: O'Reilly Media; 1 edition (June 15, 2009)

Language: English

ISBN-10: 0596521979

ISBN-13: 978-0596521974

Product Dimensions:

7 x 1 x 9.2 inches

Shipping Weight: 1.6 pounds (View shipping rates and policies)

Average Customer Review:

3.9 out of 5 stars

15 customer reviews

Amazon Best Sellers Rank:

#2,266,065 in Books (See Top 100 in Books)

The book is clear and easy to follow, especially for a beginner like me. It had short examples for most of the cases that you might think of. I think of it as a guidance on how to learn Hadoop functionalities and classes in the right order. Yet, I can not be more precise in my review since I haven't read another book about Hadoop. Most of my references are online, specially Yahoo site. I'm not sure how advanced it is, because I don't have a real cluster, so I'm not sure if what is mentioned, is enough for real cluster's problems and and configurations issues. The book also discuss other Apache projects like Hive and HBase. This is found in other books too but what's amazing here is that all code scripts mentioned in the book are also provided to start running directly without the hassle of writing from scratch.

What I really liked most about this books was that I could read the vast majority of it straight through and enjoyed the process. Very well structured and the example surrounding weather station data was an appropriate choice to give a good perspective on most of the problems. A good mix of practical theory, examples and code snippets.

Has some good examples

Tom White certainly writes very well: this book is very readable. It is also quite comprehensive, falling somewhere between a tutorial and a reference.That being said, I was ultimately rather disappointed. First, and most importantly, it was not clear to me after reading this book how I might use Hadoop for some of my projects, or if indeed they were good candidates for MapReduce. I feel it should have been possible to provide some generic guidance. Second, some chapters are written by other authors, and these did not uniformly provide the same quality of instruction, reading occasionally like advertisements.I confess I am puzzled by the number of encapsulating and utility APIs that have grown up around Hadoop. Why do we need Pig, HBase, Hive, Zookeeper and Cascading? Apparently because (according to what I have read here), bare Hadoop is hard to program with (productively). Some indication of how these wrappers interact with each other would have been helpful.As it is, I feel LESS urge to evangelize for Hadoop having read this book. Surely not the desired effect?

Nicely packed and the quality is as expected...

I bookmarked this book for several months and bought it very rapidly after its availibility. It's a very comprehensive book, very deep and cover many various aspects of Hadoop and related technologies. I recommend it without any doubt, enjoy reading and learning.

I especially like the part talks about MapReduce, makes it easy to understand.

These days, one can't seem to attend technical conferences without hearing marketing-oriented speakers' world domination plans for their products. So imagine this: what if pigs and elephants are involved? Elephants would be Hadoop installations, and Pigs would be one of those animal-themed tools, smarter cousins of the elephants really, riding on top of Hadoops, directing them on how to perform their jobs. Would the world be a better place?Hadoop is the brainchild of Doug Cutting, who named his creation after his kid's stuffed yellow elephant. Hadoop enables large datasets distributed over a cluster of machines to be processed in parallel. One machine or node in that cluster would usually house a JobTracker and a NameNode. The JobTracker schedules and manages processing jobs to be executed in the other machines, and the NameNode manages the metadata (e.g., file names and locations, etc) of the datasets to be processed. The processing jobs are programmed in the form of Map and Reduce functions. Inputs are usually split into blocks to be processed in parallel by two or more identical mappers. The close to final outputs are then fed to one or more identical reducers, whose job is to perform any final transformations on the intermediate data to produce data summaries in the expected format. Several companies are using Hadoop to extract knowledge from their extensive data.I've read this book and Jason Venners' Pro Hadoop book. Although I like both, I like this book better for the following reasons: more comprehensive coverage of topics, and more insiders' information on design rationales and how certain Hadoop features really work behind the scenes.Here's a breakdown of and some commentaries on the book's contents:Chapter One introduces Hadoop, its history and how it's different from similar tools or frameworks. Kinda dry. Chapter Two introduces the MapReduce Programming model and its benefits when compared to, say, the use of Unix tools for achieving parallel processing of text files. This is also where readers are introduced to the concepts of: map, combiner, and reduce functions, shuffle and sort, streaming, etc. Chapters Three and Four are all about the Hadoop Distributed FileSystems and I/O and the design decisions that were made to address performance, reliability, and safety concerns.Chapter Five shows you how to develop, configure, test, run and tune a MapReduce Application. Good chapter but Jason Venner's book has better materials on testing and debugging MapReduce applications.Chapters Six through Eight discuss how MapReduce really works behind the scene, including advanced features. This is where you'll learn how flexible Hadoop is when it comes to handling different types of inputs and outputs in terms of numbers, sizes, formats, and usage scenarios. Excellent!Chapters Nine and Ten are really good. They teach you how to set up and administer Hadoop clusters. There's even a brief but informative section on how to use Hadoop with Amazon EC2 servers.Chapters 11-13 devote one chapter each on how to install and interact with frameworks built on top of Hadoop: Pig, HBase, and ZooKeeper. Chapter 14 provides Case Studies (e.g., How Facebook uses Hadoop to analyze ad campaign effectiveness, etc.).Appendices A and B provide instructions on how to install Apache's Hadoop and Cloudera's distribution, respectively, and C gives you a runthrough of the steps to take when preparing to use the NCDC Weather Data used in the book.Very thorough and well written book. 4.5 stars rating.

Hadoop PDF
Hadoop EPub
Hadoop Doc
Hadoop iBooks
Hadoop rtf
Hadoop Mobipocket
Hadoop Kindle