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Content Tagged with mapreduce + hadoop

Welcome to Hama project

行列演算をMapReduce上で行うライブラリ

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[from wnpxrz] happy - Google Code

Happy is a framework for writing map-reduce programs for Hadoop using Jython. It files off the sharp edges on Hadoop and makes writing map-reduce programs a breeze.

User:jeyrb: jey's network's del.icio.us bookmarks

happy - Google Code

write your bulk processing jobs in python (well, jython) and then run them on your cloud via mapreduce. Perfect for those bulk content analysis jobs. or for running freebase.com, which is apparently what they do with it.

opensource: del.icio.us tag/opensource

happy - Google Code

Pythonを使ってMapReduceを処理するフレームワーク

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Cascading

Cascading is a feature rich API for defining and executing complex and fault tolerant data processing workflows on a Hadoop cluster.

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A Scalable Language, and a Scalable Framework: Scala Blog

This is an excellent example of how a more powerful language makes something FAR easier to program and use. The example compares Scala and Java using the same Java library for doing map-reduce.

scala: del.icio.us/tag/scala

Vdoop - Manage your virtual cluster - More About Vdoop

Vdoop allows a user to easily define, launch, and manage a large cluster of virtual machines, running on top of a small physical cluster, or even a single machine

Xen: http://del.icio.us/rss/tag/xen

Scala Blog: A Scalable Language, and a Scalable Framework

Introducing a Scala library to do concise mapreduce (via hadoop) apps

scala: del.icio.us/tag/scala

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