SPRINGONE 2GX 2012: THE SPRING, GROOVY, GRAILS, & CLOUD EVENT OF THE YEAR!
Paco Nathan
Data Scientist
Blog
Cascading for the Impatient, Part 6
Posted 2012-08-07 15:22:00.0
In our fifth installment of this series we showed how to implement TF-IDF in Cascading application. If you haven’t read that yet, it’s probably best to start there. Today’s post extends the TF-IDF app to show best practices for test-driven developmore »Cascading for the Impatient, Part 5
Posted 2012-07-31 18:17:00.0
In our fourth installment of this series we showed how to use HashJoin on two pipes, to perform “stop words” filtering at scale in a Cascading 2.0 application. If you haven’t read that yet, it’s probably best to start thermore »Cascading for the Impatient, Part 4
Posted 2012-07-24 10:13:00.0
In our third installment of this series we showed how to write a custom Operation for a Cascading 2.0 application. If you haven’t read that yet, it’s probably best to start thermore »Presentations
Introduction to Cascading
Introduction to Cascading, an application framework for Java developers to deploy robust, enterprise-grade applications on Apache Hadoop. We'll start with the simplest Cascading program possible (file copy in a distributed file system) and progress in smamore »Introduction to Cascading
By Paco Nathan
Introduction to Cascading, an application framework for Java developers to deploy robust, enterprise-grade applications on Apache Hadoop. We'll start with the simplest Cascading program possible (file copy in a distributed file system) and progress in small steps to show a Java-based social recommender system based on Twitter feeds.
Introduction to Cascading, an application framework for Java developers to deploy robust, enterprise-grade applications on Apache Hadoop. We'll start with the simplest Cascading program possible (file copy in a distributed file system) and progress in small steps to show a Java-based social recommender system based on Twitter feeds.
The objective is to show how to work with “Big Data”, starting on a laptop with sample data sets, to generate JAR-based apps which can be deployed on very large clusters.
We'll show best practices for scalable apps in Cascading, how to leverage TDD features, etc.
- NFJS SITES:
- No Fluff Just Stuff
- Uber Conf
- NFJS One
- SpringOne 2GX
- Rich Web Experience
- Continuous Delivery Experience
- SPRINGSOURCE SITES:
- Springsource.com
- Springsource.org