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You're reading from  Apache Mahout Essentials

Product typeBook
Published inJun 2015
Reading LevelIntermediate
Publisher
ISBN-139781783554997
Edition1st Edition
Languages
Java
Tools
Mahout
Concepts
Machine Learning
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Author (1)
Jayani Withanawasam
Jayani Withanawasam
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Jayani Withanawasam

Jayani Withanawasam is R&D engineer and a senior software engineer at Zaizi Asia, where she focuses on applying machine learning techniques to provide smart content management solutions. She is currently pursuing an MSc degree in artificial intelligence at the University of Moratuwa, Sri Lanka, and has completed her BE in software engineering (with first class honors) from the University of Westminster, UK. She has more than 6 years of industry experience, and she has worked in areas such as machine learning, natural language processing, and semantic web technologies during her tenure. She is passionate about working with semantic technologies and big data.
Read more about Jayani Withanawasam

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Apache Mahout with Hadoop

Apache Mahout uses Apache Hadoop, which is a distributed computing framework, to achieve scalability. The following figure clearly shows the place where Apache Hadoop fits into Apache Mahout:

As shown in the previous figure, Yarn (Data processing) and HDFS (Data Storage) are key components in Apache Hadoop.

In this chapter, we will explain the important subcomponents of Yet Another Resource Negotiator (YARN) and HDFS and their behavior in detail before proceeding to the Hadoop installation steps.

YARN with MapReduce 2.0

First, let's understand YARN, which is a new addition to Apache Hadoop 2.0.

Earlier, Apache Hadoop operated with MapReduce 1.0. It had some drawbacks in cluster resource utilization due to the constraints incurred with the static allocation of map and reduce slots.

YARN, along with MapReduce 2.0, has overcome this drawback by inventing a novel, flexible resource allocation model that contains containers.

The YARN architecture consists of the following subcomponents...

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Apache Mahout Essentials
Published in: Jun 2015Publisher: ISBN-13: 9781783554997
© 2015 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Jayani Withanawasam

Jayani Withanawasam is R&D engineer and a senior software engineer at Zaizi Asia, where she focuses on applying machine learning techniques to provide smart content management solutions. She is currently pursuing an MSc degree in artificial intelligence at the University of Moratuwa, Sri Lanka, and has completed her BE in software engineering (with first class honors) from the University of Westminster, UK. She has more than 6 years of industry experience, and she has worked in areas such as machine learning, natural language processing, and semantic web technologies during her tenure. She is passionate about working with semantic technologies and big data.
Read more about Jayani Withanawasam

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