Enterprise Data Workflows with Cascading

08/06/2013 · No Responses

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

Table of Contents
Chapter 1. Getting Started
Chapter 2. Extending Pipe Assemblies
Chapter 3. Test-Driven Development
Chapter 4. Scalding—A Scala DSL for Cascading
Chapter 5. Cascalog—A Clojure DSL for Cascading
Chapter 6. Beyond MapReduce
Chapter 7. The Workflow Abstraction
Chapter 8. Case Study: City of Palo Alto Open Data

Appendix A. Troubleshooting Workflows