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Apache Hadoop 3 Quick Start Guide

You're reading from  Apache Hadoop 3 Quick Start Guide

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781788999830
Pages 220 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Profile icon Hrishikesh Vijay Karambelkar
LinkedIn
Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
See other products by Hrishikesh Vijay Karambelkar

Table of Contents (10) Chapters

Preface Hadoop 3.0 - Background and Introduction Planning and Setting Up Hadoop Clusters Deep Dive into the Hadoop Distributed File System Developing MapReduce Applications Building Rich YARN Applications Monitoring and Administration of a Hadoop Cluster Demystifying Hadoop Ecosystem Components Advanced Topics in Apache Hadoop Other Books You May Enjoy

Summary

In this chapter, we covered the installation and setup of Apache Hadoop. We started with the prerequisites for setting up a Hadoop cluster. We also went through different Hadoop configurations available for users, covering the development mode, pseudo distributed single nodes, and the cluster setup. We learned how each of these configurations can be set up, and we also ran an example application on the configurations. Finally, we covered how one can diagnose the Hadoop cluster by understanding the log files and different debugging tools available. In the next chapter, we will start looking at the Hadoop Distributed File System in detail.

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Authors (1)

Profile icon Hrishikesh Vijay Karambelkar
LinkedIn
Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.
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See other products by Hrishikesh Vijay Karambelkar

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