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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

Apache Mahout

Apache Mahout is a scalable machine learning library. It is an open source library under the Apache Software Foundation. It supports algorithms for clustering, classification, and collaborative filtering on distributed platforms. Apache Mahout welcomes contributors to contribute any algorithm to the library. The algorithm coded may not always be distributed and can run on a single machine as well.

Tip

As Apache Mahout allows developers to introduce single-machine algorithms, it is recommended that you study the implementation before running it on Hadoop.

Apache Mahout has a few algorithms that are implemented as MapReduce. These algorithms can be run in Hadoop to exploit the parallelism on a distributed cluster. Again, a word of caution for you is to study the implementation of an algorithm before using it in your Hadoop deployments. A non-MapReduce algorithm may not yield any speedup when run on a Hadoop cluster.

Tip

In a recent change, since April 2014, Mahout has stopped accepting...

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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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