MapReduce, a discussion with Shu

Another Organization for the Understanding of Dynamic Languages (OUDL) event:

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!

Please RSVP on the meetup event page.