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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

Summary

With cloud computing becoming a focus for its elasticity and cost-effectiveness, Microsoft has moved into the arena to compete with existing players. To maintain parity with competition, Microsoft Azure not only offers Linux-based Virtual Machines, but has also embraced open source big data systems such as Hadoop. HDInsight offers HaaS on Microsoft Azure.

The key takeaways from this chapter are as follows:

  • Hadoop is now natively available on Windows. Installing Unix emulators or Linux VMs on Windows OS is no longer necessary.
  • Hadoop support on Windows natively has two missing features: Security features and short-circuit HDFS reads are not yet integrated with this system.
  • Hadoop on Windows requires building the Hadoop distribution from scratch. Direct download of Hadoop binaries for Windows is not yet available.
  • HDInsight, Hadoop as a service offering on Microsoft Azure, provides seamless Excel integration and integration with platforms such as the Hortonworks Data Platform.
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