There is an easier way to build Hadoop applications. With this hands-on book, youall learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applicationsawithout having to learn the intricacies of MapReduce. Working with sample apps based on Java and other JVM languages, youall quickly learn Cascadingas 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 InitiativeBOOKS ABOUT PATTERN LANGUAGE For more information about pattern language: A Pattern Language by ... (Oxford University Press) PatternOriented Software Architecture Volume 1:A System of Patterns byFrank Buschmann, ... A reasonable summary would be to saythat instead of writing documentation about programs, write documents that embed programs. ... process in a Cascading app, even though different portions of that process may have been specified in Java, Clojure, anbsp;...
|Title||:||Enterprise Data Workflows with Cascading|
|Publisher||:||"O'Reilly Media, Inc." - 2013-07-11|