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Mastering Hadoop

You're reading from   Mastering Hadoop Go beyond the basics and master the next generation of Hadoop data processing platforms

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
Tools
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Author (1):
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Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
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Toc

Table of Contents (15) Chapters Close

Preface 1. Hadoop 2.X FREE CHAPTER 2. Advanced MapReduce 3. Advanced Pig 4. Advanced Hive 5. Serialization and Hadoop I/O 6. YARN – Bringing Other Paradigms to Hadoop 7. Storm on YARN – Low Latency Processing in Hadoop 8. Hadoop on the Cloud 9. HDFS Replacements 10. HDFS Federation 11. Hadoop Security 12. Analytics Using Hadoop A. Hadoop for Microsoft Windows Index

Conventions

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text are shown as follows: "The FileInputFormat subclass and associated classes are commonly used for jobs taking inputs from HFDS."

A block of code is set as follows:

return new CombineFileRecordReader<LongWritable, Text>((CombineFileSplit) inputSplit, taskAttemptContext,MasteringHadoopCombineFileRecordReader.class);
}

Any command-line input or output is written as follows:

14/04/10 07:50:03 INFO input.FileInputFormat: Total input paths to process : 441

New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes for example, appear in the text like this: "The former is called a Map-side join and the latter is called a Reduce-side join."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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