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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

Appendix A. Hadoop for Microsoft Windows

Traditionally, Hadoop has been supported on Unix-based operating systems. Installation on Microsoft Windows was tedious and not consistent. It involved installing Unix-based emulators such as Cygwin and carrying out installation steps similar to Hadoop installations on Unix systems. Other alternatives were to run a Linux virtual machine on Windows hosts and install Hadoop on them. But Hadoop was still not natively available on the Microsoft Windows operating system until Hadoop 2.0 arrived.

With all major players moving into the cloud, the Hadoop as a Service (HaaS) offering is becoming popular. It offers an easy and cost-efficient way of analyzing big data on the cloud. Microsoft also joined the cloud bandwagon with the Azure suite of services on the cloud. The Microsoft Azure cloud not only supports Linux Virtual Machines, but also provides Hadoop as a service. Players such as Hortonworks collaborated with Microsoft to bring Hadoop to...

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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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