MapReduce: Processing Big Data

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• Alexander Collins
• Tuesday 16 February 2010, 18:30-19:30
• Tizard Room, Churchill College.

If you have a question about this talk, please contact John Wickerson.

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The amount of data that we store and process has increased drastically over the past decade, and has forced us to turn from using individual machines to clusters. My talk will present a distributed programming model called MapReduce which allows batch processing of data on large clusters of commodity hardware, whilst hiding complexities such as fault tolerance and scheduling from the user. I will also briefly describe my Part II project to implement a higher level language over MapReduce.

This talk is part of the Churchill CompSci Talks series.

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• Churchill CompSci Talks
• Tizard Room, Churchill College
• computer science
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