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Mastering Hadoop

You're reading from  Mastering Hadoop

Product type Book
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Pages 374 pages
Edition 1st Edition
Languages
Author (1):
Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
Toc

Table of Contents (21) Chapters Close

Mastering Hadoop
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Hadoop 2.X 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 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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