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Cluster Computing and MapReduce Lecture 2

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Oklahoma Sports Fan

Lecture 2: The MapReduce programming model. See http://code.google.com/edu/con... for slides and other resources.

Channel: Howto & Style
Uploaded: August 28, 2007 at 4:20 pm
Author: GoogleDevelopers

Length: 52:05
Rating: 4.34
Views: 14584

Tags: cluster  computing  distributed  gfs  hadoop  mapreduce  parallel  

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Video Comments

thecoolestjay (February 8, 2008 at 1:59 pm)
Either he's too smart, or he spent too much time preparing his lectures.
mrcoder (January 2, 2008 at 9:25 pm)
The lecturer's information flux density is overflowing my brain's buffers. He needs to dwell and linger on his points longer, and he needs to repeat them. This will give ample time for people to catch up with his ideas, assuming they are important enough that one should understand them. Basically what I'm saying is, his presentation is not casual enough. It's frustrating jibberish until I have replayed the video several times.
thejiwon (December 18, 2007 at 4:48 pm)
I had the same problem - I paused it and left it that way until it was fully buffered, then played it and it plays well.
thejiwon (December 17, 2007 at 8:14 pm)
What they're trying to do: exploit the grammatical characteristics of functional programming to allow concise expression of problems of inherent parallelism, while hiding the technicalities associated with the process of reducing them into parallel components.
nilbud (November 22, 2007 at 3:46 am)
Input -> Process -> Output as we used to say in the olden days. 10 ? Hello 20 GOTO 10 RUN 0 0 0 0 0 0
charlieok (November 19, 2007 at 11:18 am)
Ironically, I'm having quite a bit of trouble watching this lecture series about reliable, highly available services. It's just not loading at all for me right now, but the rest of my internet access is fine.
jwalter2 (November 18, 2007 at 7:39 pm)
Thank you, Google. Google is my hero.
05cert (November 15, 2007 at 4:09 am)
This is great, thank you google
yanglian (October 25, 2007 at 2:57 am)
great! better than reading papers.

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