Among the recent achievements and trends towards better analysis of data and services lies the Big Data movement. In particular, the Hadoop framework has established some kind of ad hoc standard "for the distributed processing of large datasets across clusters of computers using simple programming models". In addition to a distributed file system called HDFS optimized for high throughput to access data, Hadoop offers MapReduce facilities for processing large datasets in parallel. As setting up and running Hadoop is not always considered a simple task, some other frameworks have been developed on top of Hadoop as a means to simplify the definition of Hadoop jobs. In Java, the Cascading framework is a layer on top of Hadoop that provides a convenient API to facilitate creation of MapReduce jobs. In Scala, the Scalding framework has been developed to further enhance the cascading API by utilizing the concise and expressive Scala syntax, as we can observe by...
Scala for Java Developers
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Scala for Java Developers
By:
Overview of this book
Table of Contents (19 chapters)
Scala for Java Developers
Credits
Foreword
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Programming Interactively within Your Project
Code Integration
Understanding the Scala Ecosystem
Getting Started with the Play Framework
Database Access and the Future of ORM
Working with Integration and Web Services
Essential Properties of Modern Applications – Asynchrony and Concurrency
Building Reactive Web Applications
Scala Goodies
Index
Customer Reviews