Book Image

Mastering Spring Application Development

By : Anjana Mankale
Book Image

Mastering Spring Application Development

By: Anjana Mankale

Overview of this book

Table of Contents (19 chapters)
Mastering Spring Application Development
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 7. Spring with Hadoop

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.