Tag Archives: amazon

An example of using F# and C# (.net/mono) with Amazon’s Elastic Mapreduce (Hadoop)

This posting gives an an example how F# and C# can scale potentially to up to thousands of machines with Mapreduce in order to efficiently process TeraByte (TB) and PetaByte (PB) data amounts. It shows a C# (c sharp) mapper … Continue reading

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Programmatic Deployment to Elastic Mapreduce with Boto and Bootstrap Action

A while back I wrote about How to combine Elastic Mapreduce/Hadoop with other Amazon Web Services. This posting is a small update to that, showing how to deploy extra packages with Boto for Python. Note that Boto can deploy mappers … Continue reading

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Towards Cloud Supercomputing

Atbrox is startup company providing technology and services for Search and Mapreduce/Hadoop. Our background is from Google, IBM and research. Update 2010-Nov-15: Amazon cluster compute instances enters 231th place on top 500 supercomputing list. Update 2010-Jul-13: Can remove towards from … Continue reading

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Atbrox Customer Case Study – Scalable Language Processing with Elastic Mapreduce (Hadoop)

We developed a tool for scalable language processing for our customer Lingit using Amazon’s Elastic Mapreduce. More details: http://aws.amazon.com/solutions/case-studies/atbrox/ Contact us if you need help with Hadoop/Elastic Mapreduce.

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How to combine Elastic Mapreduce/Hadoop with other Amazon Web Services

Elastic Mapreduce default behavior is to read from and store to S3. When you need to access other AWS services, e.g. SQS queues or database services SimpleDB and RDS (MySQL) the best approach from Python is to use Boto. To … Continue reading

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