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  • Extending Oozie

    by Boris Lublinsky, Mike Segel on  Aug 02, 2011 4

    In this article authors show how leverage Oozie extensibility to implement custom language extensions. This approach can be viewed a specializing workflow language for a given company/line of business.

  • An Open, Interoperable Cloud

    by Andy Edmonds, Thijs Metsch, Eugene Luster on  Jul 19, 2011 3

    This article describes how interoperable clouds can be created, today, through the integration of open standards such as the Open Cloud Compute Interface, the Open Virtualisation Format and CDMI. They provide the means to package virtual infrastructure deployments, an API for the runtime management of storage infrastructure and an API for the runtime management of infrastructure as service.

  • Oozie by Example

    by Boris Lublinsky, Mike Segel on  Jul 18, 2011 2

    End to end Oozie example, including process design, resource coordinator and workflow implementation

Introduction to Oozie

Posted by Boris Lublinsky, Michael Segel on  Jul 12, 2011

Introduction to Oozie and some of the ways it can be used. 7

Using Apache Avro

Posted by Boris Lublinsky on  Jan 25, 2011

A new marshaling framework - Apache Avro provides a lot of interesting new features. In his new article, Boris Lublinsky takes it for a test drive and provides some suggestions on its proper usage 4

Data Mining in the Swamp: Taming Unruly Data With Cloud Computing

Posted by John Brothers on  Aug 13, 2010

Matrix presents a white paper on using the open source tool, Hadoop, to implement the MapReduce strategy and a Cloud computing strategy to solve business intelligence problems. 1

Clojure and Rails - the Secret Sauce Behind FlightCaster

Posted by Werner Schuster on  Aug 20, 2009

FlightCaster, a flight delay prediction site, uses Clojure and Hadoop for the statistical analysis, with a Rails/Heroku frontend. We talked to Bradford Cross about Clojure and functional programming. 1

Yahoo's Doug Cutting on MapReduce and the Future of Hadoop

Posted by Scott Delap on  Sep 12, 2007

In this special InfoQ interview, Hadoop project lead Doug Cutting discusses MapReduce, the benefits of open source, and the future direction of the project. 2

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