MapReduce, a discussion with Shu

Come to a discussion of MapReduce, with Shu Chen.

A short discussion of any topics from the WWW, such as the Y combinator or Mandelbrot set, may proceed MapReduce, if there is sufficient interest.

MapReduce is a programming model for processing large data sets, and the name of an implementation of the model by Google. MapReduce is typically used to do distributed computing on clusters of computers.

The model is inspired by the map and reduce functions commonly used in functional programming, although their purpose in the MapReduce framework is not the same as their original forms.

MapReduce libraries have been written in many programming languages. A popular free implementation is Apache Hadoop.

Here's Hello World in MapReduce, on Google's App Engine.

If you like Big Data, or parallel, distributed programming, or Hadoop, or technical jargon that's sure to beef up your startup elevator pitch... well, if you like any of those, except the last one, come on out!

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  • Matthew

    Excellent, interesting talk that wasn't language specific!

    September 9, 2012

  • Benjamin T.

    Really looking forward to Aloha Ruby Conf! That local discount is ridiculously cheap. Thanks for putting this together, Chris and the Aloha.rb team

    September 7, 2012

  • Benjamin T.

    thanks for the great talk, Shu. I'm going to mapreduce my way through my email today.

    September 7, 2012

  • Christopher S.

    Wish I could have made it in time to see your talk Shu!

    In case anyone else is interested checkout the lineup for Aloha Ruby Conf

    The local discount link is Hope to see you all there :)

    September 6, 2012

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