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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

Amazon AWS S3

S3, short for Simple Storage Service, is Amazon's storage as a service offering. It provides reliable storage for data by providing redundancy. The consumer is charged for storage of data on S3 based on the amount of storage used. Any download of data from S3 is also charged, but data upload and transfer of data between AWS properties are free of charge. This makes it extremely attractive for the user to run EMR (Elastic Map Reduce) on AWS and have data stored on S3.

S3 can be used as the input and output data store for MapReduce jobs. The intermediate files can be stored on local disks or the HDFS of the EMR cluster. This also allows easy sharing of input and results among different people in the organization without fearing data loss, with high data security. If an EMR cluster gets terminated accidentally, all of the HDFS data will be lost unless it is moved out. Using S3 for input and output mitigates such risks.

However, S3 is significantly slower because it does not...

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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.

See other products by Karanth

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