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Hadoop in Practice, by Alex Holmes
Free PDF Hadoop in Practice, by Alex Holmes
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Summary
Hadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating Kafka, Impala, and Spark SQL with Hadoop. You'll also get new and updated techniques for Flume, Sqoop, and Mahout, all of which have seen major new versions recently. In short, this is the most practical, up-to-date coverage of Hadoop available anywhere.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Book
It's always a good time to upgrade your Hadoop skills! Hadoop in Practice, Second Edition provides a collection of 104 tested, instantly useful techniques for analyzing real-time streams, moving data securely, machine learning, managing large-scale clusters, and taming big data using Hadoop. This completely revised edition covers changes and new features in Hadoop core, including MapReduce 2 and YARN. You'll pick up hands-on best practices for integrating Spark, Kafka, and Impala with Hadoop, and get new and updated techniques for the latest versions of Flume, Sqoop, and Mahout. In short, this is the most practical, up-to-date coverage of Hadoop available.
Readers need to know a programming language like Java and have basic familiarity with Hadoop.
What's Inside
- Thoroughly updated for Hadoop 2
- How to write YARN applications
- Integrate real-time technologies like Storm, Impala, and Spark
- Predictive analytics using Mahout and RR
- Readers need to know a programming language like Java and have basic familiarity with Hadoop.
About the Author
Alex Holmes works on tough big-data problems. He is a software engineer, author, speaker, and blogger specializing in large-scale Hadoop projects.
Table of Contents
PART 1 BACKGROUND AND FUNDAMENTALS- Sales Rank: #601839 in Books
- Published on: 2014-10-12
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x 7.50" w x 1.25" l, .84 pounds
- Binding: Paperback
- 512 pages
Most helpful customer reviews
7 of 7 people found the following review helpful.
Excellent Hadoop Resource
By Rick Magnuson
Let me start by saying, if you want to maximize the benefit from reading "Hadoop in Practice," you better have a solid conceptual understanding of HDFS and MapReduce. The book does start with a primer of Hadoop, but it quickly delves into a deep detailed explanation of YARN and how YARN has helped evolve the Hadoop ecosystem. Chapter 2 in particular explains how the Hadoop architecture, including MapReduce, has been overhauled to use YARN applications.
"Hadoop in Practice" is filled with excellent real-world examples that show Hadoop in motion. Those real-world examples are broken down in a consumable format that includes 85 different use cases with accompanying solutions. Having an intermediate-level knowledge of Java will go a long way as you traverse the examples and source code included with the book.
My personal favorite chapter, Chapter 7, shows users how to leverage data structures and algorithms at scale. Whether it is describing and detailing the shortest-path algorithm or friends-of-friends algorithm, "Hadoop in Practice" simply does not skimp on providing legitimate use cases along with pseudo code before breaking down each implementation in MapReduce complete with Java code.
Overall, "Hadoop in Practice" is structured well and every chapter begins with a high-level overview and ends with a thorough summery. Most chapters include detailed diagrams that I found useful when trying to understand some of the more complex issues in the book - and trust me, there are many.
5 of 5 people found the following review helpful.
the title says it all - great examples
By bmw1100rt
this new second edition is what I was looking for - approximately 100 use case scenarios, including good diagrams and commented code to completely show the problem and solution. This book assumes the reader has some familiarity with Java, but is approachable for most professional coders. There's also 'enough computer science' in this book to arm you with the theory of what's happening during execution. if the table of contents lists stuff you want to learn about, this book is a very good choice.
5 of 5 people found the following review helpful.
A well-written and updated guide that covers some of the 'trickier and dirtier aspects' of Hadoop
By Si Dunn
The Hadoop world has undergone some big changes lately, and this hefty, updated edition offers some excellent coverage of a lot of what’s new. If you currently work with Hadoop and MapReduce or are planning to take them up soon, give serious consideration to adding this well-written book to your technical library. A key feature of the book is its “104 techniques.” These show how to accomplish practical and important tasks when working with Hadoop, MapReduce and their growing arrays of software “friends.”
Of course, one book cannot possibly cover everything you need to know about Hadoop, MapReduce, Parquet, Kafka, Camus, YARN and other technologies. And the book's software examples assume that you have had some experience with Java, XML and JSON. However, Hadoop in Practice, Second Edition gives a very good and reasonably deep overview of the Hadoop world, spanning such major topic categories as background and fundamentals, data logistics, Big Data patterns, and moving beyond MapReduce.
I don't "love" Hadoop and MapReduce; my experiences with them have been a struggle. So I can't give this book five stars on the review scale. But I am happy to give it four solid stars, and I definitely recommend it to others.
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