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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

Product type Paperback

Published in Dec 2014

Publisher

ISBN-13 9781783983643

Length 374 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Data Processing

Author (1):

Sandeep Karanth

View More author details

Table of Contents (15) Chapters

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

Chapter 3. Advanced Pig

Running Java MapReduce jobs on Hadoop provides the most flexibility with the least abstraction. However, abstractions are necessary to infer patterns, accomplish common data manipulation tasks, reduce complexity, and flatten the learning curve. Pig is a platform that provides a framework and high-level abstractions to build MapReduce programs for Hadoop. It has a scripting language called Pig Latin. Pig Latin can be compared to SQL in terms of operator capabilities.

Developed at Yahoo! around the year 2006, Pig was used as a framework to specify ad hoc MapReduce workflows. In the following year, it was moved to Apache Software Foundation. The latest release of Pig is 0.12.1.

Tip

The official release of Pig is currently incompatible with Hadoop 2.2.0. It expects libraries from Hadoop 1.2.1. Running any Pig script fails, with the following exception:

Unexpected System Error Occured: java.lang.IncompatibleClassChangeError: Found interface org.apache.hadoop.mapreduce...

The rest of the chapter is locked

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Authors (1)

Karanth

Karanth

Sandeep Karanth is a technical architect who specializes in building and operationalizing software systems. He has more than 14 years of experience in the software industry, working on a gamut of products ranging from enterprise data applications to newer-generation mobile applications. He has primarily worked at Microsoft Corporation in Redmond, Microsoft Research in India, and is currently a cofounder at Scibler, architecting data intelligence products.

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