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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

Deploying Hadoop on Microsoft Windows

In this section, we will look in detail as to how we can build and install Hadoop natively on a Windows system. We will be using Windows 8 to install Hadoop. The same steps can be employed to install Hadoop on Windows Server 2008 or Windows 7. We will be installing Hadoop on a 64-bit Windows OS running on 64-bit hardware.

Prerequisites

Installing Hadoop on Windows requires the following platforms, software, and tools installed:

Java JDK: Java is the soul of Hadoop and requires it to be installed on the machine. Java from Oracle comes with the Java Runtime Environment (JRE) and the Java Development Kit (JDK). Hadoop installation requires the JDK. The JDK can be obtained from Oracle's website. To reiterate, it is very important to choose the JDK that is higher than 1.6. We will choose the latest—JDK 1.8. The following screenshot shows the page from where the JDK can be downloaded. In this example, we choose the Windows x64 product. A 32-bit...

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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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