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Pro Hadoop ペーパーバック – イラスト付き, 2010/6/2
購入オプションとあわせ買い
You've heard the hype about Hadoop: it runs petabyte–scale data mining tasks insanely fast, it runs gigantic tasks on clouds for absurdly cheap, it's been heavily committed to by tech giants like IBM, Yahoo!, and the Apache Project, and it's completely open-source (thus free). But what exactly is it, and more importantly, how do you even get a Hadoop cluster up and running?
From Apress, the name you've come to trust for hands–on technical knowledge, Pro Hadoop brings you up to speed on Hadoop. You learn the ins and outs of MapReduce; how to structure a cluster, design, and implement the Hadoop file system; and how to build your first cloud–computing tasks using Hadoop. Learn how to let Hadoop take care of distributing and parallelizing your software―you just focus on the code, Hadoop takes care of the rest.
Best of all, you'll learn from a tech professional who's been in the Hadoop scene since day one. Written from the perspective of a principal engineer with down–in–the–trenches knowledge of what to do wrong with Hadoop, you learn how to avoid the common, expensive first errors that everyone makes with creating their own Hadoop system or inheriting someone else's.
Skip the novice stage and the expensive, hard–to–fix mistakes...go straight to seasoned pro on the hottest cloud–computing framework with Pro Hadoop. Your productivity will blow your managers away.
- 本の長さ440ページ
- 言語英語
- 出版社Apress
- 発売日2010/6/2
- 寸法17.81 x 2.54 x 23.5 cm
- ISBN-101430219424
- ISBN-13978-1430219422
商品の説明
著者について
登録情報
- 出版社 : Apress; 1st版 (2010/6/2)
- 発売日 : 2010/6/2
- 言語 : 英語
- ペーパーバック : 440ページ
- ISBN-10 : 1430219424
- ISBN-13 : 978-1430219422
- 寸法 : 17.81 x 2.54 x 23.5 cm
- カスタマーレビュー:
他の国からのトップレビュー
i recommend this 10/10 (Make sure you get the book with latest hadoop API updates)
Rest of the chapters mostly concentrated on minute details of configuration of a host of different parameters.
I was looking for a book - that gave back to the readers more on the conceptual side of Hadoop and on Map Reduce - with examples of being able to solve different flavour of problems.
I just skimmed over the chapters from chapter 3 onwards - since I found the configuration details too detailed.
However, if you consider from the point of view - of how difficult it can be to setup Hadoop - may be the configurations as discussed from Chapter 3 onwards are essential.
Now that Cloudera has come up with an easy to install Hadoop install - going though configuration and setup in a book at a very detailed level seems not necessary.
The pictures and diagrams ( though very few on this book ) are not very helpful and I felt were not thoughtfully made.
The Kindle edition of this book is perfectly readable on my 6" Kindle 2, although the code samples are significantly lighter than the rest of the text.