Enterprise Data Workflows with Cascading: Streamlined Enterprise Data Management and Analysis

by Paco Nathan

There is an easier way to build Hadoop applications. With this hands-on book, you'll learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications--without having to learn the intricacies of MapReduce.

Working with sample apps based on Java and other JVM languages, you'll quickly learn Cascading's streamlined approach to data processing, data filtering, and workflow optimization. This book demonstrates how this framework can help your business extract meaningful information from large amounts of distributed data.


Start working on Cascading example projects right away
Model and analyze unstructured data in any format, from any source
Build and test applications with familiar constructs and reusable components
Work with the Scalding and Cascalog Domain-Specific Languages
Easily deploy applications to Hadoop, regardless of cluster location or data size
Build workflows that integrate several big data frameworks and processes
Explore common use cases for Cascading, including features and tools that support them
Examine a case study that uses a dataset from the Open Data Initiative

170 pages, ebook

First published January 1, 2013

About the author

Evil Mad Scientist

https://derwen.ai/paco
https://www.instagram.com/pacoid/

Programming since 1972. I made the "mistake" of studying AI in grad school at Stanford a few decades ago; perseverance pays off :)

Sometimes an author and more often a speaker/instructor, in a lot of venues, although even more often working as an engineering director or consultant.

"One of the cornerstones of Modern Mass Weirdness in the late 20th Century" - Ivan Stang.