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Lecture 1 in a five part series introducing mapreduce and cluster computing. See http://code.google.c om/edu/content/submi ssions/mapreduce-min ilecture/listing.htm l for slides and other resources.
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Lecture 2: The MapReduce programming model. See
http://code.googl e.com/edu/content/su bmissions/mapreduce- minilecture/listing. html for slides and other resources.
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Lecture 3: The Google File System. See
http://code.googl e.com/edu/content/su bmissions/mapreduce- minilecture/listing. html for slides and other resources.
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Lecture 4: Clustering Algorithms with MapReduce. See
http://code.googl e.com/edu/content/su bmissions/mapreduce- minilecture/listing. htmlfor slides and other resources.
Video duration: 1951 seconds
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Lecture 5: Parallel Graph Algorithms with MapReduce. See
http://code.googl e.com/edu/content/su bmissions/mapreduce- minilecture/listing. html for slides and other resources.
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Eric Schmidt talks about YouTube, cloud computing, targeted advertising, search, and other topics at Morgan Stanley's Technology Conference in San Francisco on March 5, 2007.
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In part 3 of 7, Bill and Steve talk about their biggest regrets; what excites and surprises them in technology today; mobile devices; and what they feel computing will be like in five years. All Things Digital Text.
