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Mastering Spring Application Development

You're reading from   Mastering Spring Application Development Gain expertise in developing and caching your applications running on the JVM with Spring

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Product type Paperback
Published in May 2015
Publisher
ISBN-13 9781783987320
Length 288 pages
Edition 1st Edition
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Author (1):
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Anjana Mankale Anjana Mankale
Author Profile Icon Anjana Mankale
Anjana Mankale
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Table of Contents (14) Chapters Close

Preface 1. Spring Mongo Integration FREE CHAPTER 2. Messaging with Spring JMS 3. Mailing with Spring Mail 4. Jobs with Spring Batch 5. Spring Integration with FTP 6. Spring Integration with HTTP 7. Spring with Hadoop 8. Spring with OSGI 9. Bootstrap your Application with Spring Boot 10. Spring Cache 11. Spring with Thymeleaf Integration 12. Spring with Web Service Integration Index

Apache Hadoop modules


Apache Hadoop consists of the following modules:

  • Hadoop Common: This is a common module used by other modules of Hadoop. It is like a utility package.

  • Hadoop Distributed File System: Hadoop Distributed File System can be considered when we have to store large amounts of data across various machines or machine clusters.

  • Hadoop Yarn: Think of a scenario where we have many servers on the cloud that need to be scheduled to restart or reboot at a particular time by sending an e-mail intimation to the tenants. Hadoop Yarn can be used for scheduling resources across computers or clusters.

  • Hadoop Map and Reduce: If we have to process a large set of data, we can break it into small clusters and process them as units and merge them back later. This can be done with the libraries provided in Apache map and reduce.

Spring namespace for Hadoop

Following is the namespace that needs to be used to integrate the Hadoop framework with Spring. http://www.springframework.org/schema/hadoop...

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