Video duration: 2776 seconds
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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.
Video duration: 3125 seconds
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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.
Video duration: 2680 seconds
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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.
Video duration: 1410 seconds
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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.
Video duration: 1528 seconds
Global video hits: 4484
Meet four of Google's Map Reduce expert engineers, Google Fellow Sanjay Ghemawat, Google Fellow Jeff Dean, Software Engineer Jerry Zhao and Software Engineer Matt Austern and watch as they discuss the origin, evolution and future of Map Reduce with Alfred Spector, Google VP of Research and Special Iniatives.
http://www.google .com/jobs/youtubevid eovig
Introduction to MapReduce, an Abstraction for Large-Scale Computation. An overview of the most popular back-end platform in Google usd for anything from Indexing to Maps. Relation to Data center structure and some public domain variations such as Hadoop.
Video duration: 39 seconds
Global video hits: 2941
Listen to an excerpt from Barry at the Seattle Conference on Scalability about using Map-Reduce with Large Geographic Databases. To view the full video of this event visit http://youtube.com/w atch?v=PuHv5Uz22W8
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