Processing large chunks of data has been a major challenge in architecting modern day web applications. Hadoop is an open source framework from Apache that provides libraries to process and store large chunks of data. It offers a scalable, cost-effective, and fault-tolerant solution to store and process large chunks of data. In this chapter, let us demonstrate how the Spring Framework supports Hadoop. Map and Reduce, Hive, and HDFS are some of the Hadoop key terminology used with cloud-based technologies. Google has also come with its own Map and Reduce and distributed file system framework, apart from Apache Hadoop.
Mastering Spring Application Development
By :
Mastering Spring Application Development
By:
Overview of this book
Table of Contents (19 chapters)
Mastering Spring Application Development
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Spring Mongo Integration
Messaging with Spring JMS
Mailing with Spring Mail
Jobs with Spring Batch
Spring Integration with FTP
Spring Integration with HTTP
Spring with Hadoop
Spring with OSGI
Bootstrap your Application with Spring Boot
Spring Cache
Spring with Thymeleaf Integration
Spring with Web Service Integration
Index
Customer Reviews