Cluster Computing and MapReduce Lecture 2

Lecture 2: The MapReduce programming model. See
http://code.google.com/edu/content/submissions/mapreduce-minilecture/listing.... for slides and other resources.

Category:

Howto & Style

Tags:

• gcvtechtalk
• mapreduce
• gfs
• hadoop
• cluster
• computing
• distributed
• parallel
• gvctechtalk
• plid05D94CA1ADAF07B5

[SethOtter]

I wish the video quality was better, I can't make out a thing that he's writing on the whiteboard. Otherwise this is a very interesting material.

[05cert]

This is great, thank you google

[TheRoflerloler]

this guy has shoulders like the navi people from avatar

[rudrivas]

Can you upload a version with better resolution, there are parts that are annoyed to watch.

Thanks

[overdozen]

Isn't that fun length(lst) should be defined as

fun length(lst) = foldl(fn (x,a) => 1+x) 0 lst

or is it something like thanks cap for all of you guys watching the video?

[basmithtx]

Hah, I was just thinking about using finished mappers to do some pre-reduction while idling; then he mentions the combiners. :)

[DartGreene]

Cool stuffs.

[VondaFononono]

That was a great part 2 lecture.

[benbutler4utube]

fantastic