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Hadoop: The Definitive Guide
 
 

Hadoop: The Definitive Guide [Kindle Edition]

Tom White
4.3 out of 5 stars  See all reviews (6 customer reviews)

Print List Price: £29.59
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Product Description

Book Description

Storage and Analysis at Internet Scale

Product Description

Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.

You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN).

  • Store large datasets with the Hadoop Distributed File System (HDFS)
  • Run distributed computations with MapReduce
  • Use Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence
  • Discover common pitfalls and advanced features for writing real-world MapReduce programs
  • Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud
  • Load data from relational databases into HDFS, using Sqoop
  • Perform large-scale data processing with the Pig query language
  • Analyze datasets with Hive, Hadoop’s data warehousing system
  • Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems

Product details

  • Format: Kindle Edition
  • File Size: 4901 KB
  • Print Length: 688 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: Yahoo Press; 3 edition (10 May 2012)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B0082FE448
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Bestsellers Rank: #65,615 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews
5 of 5 people found the following review helpful
4.0 out of 5 stars Great read if you have some hadoop experience 19 Feb 2013
Format:Paperback
I read this book while preparing for the CCDH exam. It's a solid all around book covering several different areas of the Hadoop ecosystem. However, it shouldn't be the first book someone reads about Hadoop. For that purpose maybe Hadoop in Action is a better fit. Once you get the high level of what Hadoop is all about, you can proceed with this book, keeping in mind that for every page in the book there is 5-10X amount of info available online.
It's a good book for covering the breadth and getting into quite some depth in each topic if you are willing to extend from the examples provided. It gets into quite some depth with aspects that matter like the inner workings of Mapper/Shuffle+Sort/Reducer etc.
Missed the 5th star for not covering the 2.0 info or even the annotations behind the API evolution which is a big point for newcomers to the ecosystem.
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1 of 1 people found the following review helpful
5.0 out of 5 stars Great Book 13 Aug 2013
Format:Paperback|Verified Purchase
At the first time I was little unsure about this one because comments were a little bit confusing. However I am happy that most part of comments weren't true. Having almost no information and knowledge about Hadoop I was able to understand everything and would like to recommend it to all the Hadoop beginners.
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4.0 out of 5 stars Wide coverage for Hadoop Eco-System 19 April 2014
Format:Paperback|Verified Purchase
I was looking for a book that explained Hadoop & HDFS with some technical depth to understand the practical implications of building solutions on Hadoop with a starting point of unix skills, data-warehousing but zero knowledge of Hadoop or MapReduce.
This book definitely meets the bill. It provides clear explanations of HDFS, MapReduce, HIVE, HBASE and more both in terms of what how they work and what they are good for but also provides some technical Java based examples (which I have largely skipped through). The book also covers real world implementations showing various patterns used by major Hadoop consumers that make use of the various toolsets which for me helped to cement the ideas and strengths of the various elements.
I have already recommended this book to others.
The only reason for not rating it higher is that I cannot yet testify to the quality of the code samples.
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