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Mastering Mesos

You're reading from  Mastering Mesos

Product type Book
Published in May 2016
Publisher Packt
ISBN-13 9781785886249
Pages 352 pages
Edition 1st Edition
Languages
Authors (2):
Dipa Dubhashi Dipa Dubhashi
Profile icon Dipa Dubhashi
Akhil Das Akhil Das
Profile icon Akhil Das
View More author details

Table of Contents (16) Chapters

Mastering Mesos
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Introducing Mesos Mesos Internals Getting Started with Mesos Service Scheduling and Management Frameworks Mesos Cluster Deployment Mesos Frameworks Mesos Containerizers Mesos Big Data Frameworks Mesos Big Data Frameworks 2 Index

Hadoop on Mesos


This section will introduce Hadoop, explain how to set up the Hadoop stack on Mesos, and discuss the problems commonly encountered while setting up the stack.

Introduction to Hadoop

Hadoop was developed by Mike Cafarella and Doug Cutting in 2006 to manage the distribution for the Nutch project. The project was named after Doug's son's toy elephant.

The following modules make up the Apache Hadoop framework:

  • Hadoop Common: This has the common libraries and utilities required by other modules

  • Hadoop Distributed File System (HDFS): This is a distributed, scalable filesystem capable of storing petabytes of data on commodity hardware

  • Hadoop YARN: This is a resource manager to manage cluster resources (similar to Mesos)

  • Hadoop MapReduce: This is a processing model for parallel data processing at scale

MapReduce

MapReduce is a processing model using which large amounts of data can be processed in parallel on a distributed, commodity hardware-based infrastructure reliably and in a fault...

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