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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

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
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Author (1):
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Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
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Table of Contents (15) Chapters Close

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

Hadoop on the cloud

All major cloud service providers have Hadoop as a PaaS offering. Amazon with Elastic MapReduce, Microsoft with their HDInsight offering, and Google with their Hadoop on the Google Cloud platform are the frontrunners in this space. The first to offer Hadoop on the cloud, way back in 2009, was Amazon.

We will briefly compare and contrast EMR and HDInsight in the following table:

Amazon AWS EMR

Microsoft Azure HDInsight

It was released in 2009. It has more than five years of service and technology maturity.

It was released in 2012. It has around two years of service and technology maturity.

The popularity of AWS makes the learning curve less steep for a new user. EMR is integrated with the popular AWS console.

Microsoft Azure is picking up, but it's not yet as popular as AWS. HDInsight is also integrated with Microsoft Azure dashboards.

It has the ability to deploy clusters with the MapR Hadoop distribution.

Hadoop distribution is limited to Microsoft's...

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