Author Archives: Amund Tveit

Mapreduce & Hadoop Algorithms in Academic Papers (3rd update)

Posted on May 8, 2010 by Amund Tveit

Atbrox is startup company providing technology and services for Search and Mapreduce/Hadoop. Our background is from Google, IBM and research. Contact us if you need help with algorithms for mapreduce This posting is the May 2010 update to the similar … Continue reading →

Posted in cloud computing, Hadoop and Mapreduce | Tagged , , , , | 22 Comments

Initial Thoughts on Yahoo’s Ranking Challenge

Posted on February 28, 2010 by Amund Tveit

Atbrox is startup company providing technology and services for Search and Mapreduce/Hadoop. Our background is from Google, IBM and Research. Yahoo recently announced the Learning to Rank Challenge – a pretty interesting web search challenge (as the somewhat similar Netflix … Continue reading →

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So, what is Hadoop?

Posted on February 17, 2010 by Amund Tveit

Atbrox is startup company providing technology and services for Search and Mapreduce/Hadoop. Our background is from Google, IBM and Research. Hadoop is a set of open source technologies that supports reliable and cost-efficient ways of dealing with large amounts of … Continue reading →

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Mapreduce & Hadoop Algorithms in Academic Papers (updated)

Posted on February 12, 2010 by Amund Tveit

The newest and most up-to-date version (May 2010) this blog post is available at http://mapreducebook.org Atbrox is startup company providing technology and services for Search and Mapreduce/Hadoop. Our background is from from Google, IBM and Research. This posting is an … Continue reading →

Posted in cloud computing, Hadoop and Mapreduce | Tagged , , , , | 7 Comments

Parallel Machine Learning for Hadoop/Mapreduce – A Python Example

Posted on February 8, 2010 by Amund Tveit

Atbrox is startup providing technology and services for Search and Mapreduce/Hadoop. Our background is from from Google, IBM and Research. Update 2010-June-17 Code for this posting is now on github –http://github.com/atbrox/Snabler This posting gives an example of how to use … Continue reading →

Posted in cloud computing, Hadoop and Mapreduce, infrastructure | Tagged , , , , , , , , | 14 Comments