Cluster Computing and MapReduce Lecture 5

  • Length: 32:31
  • Rating: 4.22 (18 ratings)
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  • Author: GoogleDevelopers

Tags: algorithms  cluster  computing  distributed  gfs  graph  hadoop  mapreduce  parallel 

Lecture 5: Parallel Graph Algorithms with MapReduce. See http://code.google.com/edu/content/submissions/mapreduce-minilecture/listing.html for slides and other resources.

Seattle Conference on Scalability: MapReduce Used on...

  • Length: 30:23
  • Rating: 5.00 (3 ratings)
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  • Author: googletechtalks

Tags: conference  google  howto  scalability  seattle 

Google Tech Talks June 23, 2007 ABSTRACT 2007 Google Seattle Conference on Scalability: Using MapReduce on Large Geographic Datasets Speaker: Barry Brumitt, Google, Inc. MapReduce is a programming model and library designed to simplify distributed processing of huge datasets on large clusters of computers. This is achieved by providing a general mechanism which largely relieves the programmer from having to handle challenging distributed computing problems such as data distribution, process coordination, fault tolerance, and scaling. While working on Google maps, I've used MapReduce extensively to process and transform datasets which describe the earth's geography. In this talk, I'll introduce...

Google TechTalk - MapReduce - D. PAVLOV - AMSE - P2

  • Length: 6:38
  • Rating: ( ratings)
  • Views: 357
  • Author: MediaGroupProduction

Tags: AMSE  Google  MapReduce  Pavlov  Russia  Talks  Tech  Павлов  Россия 

Google Tech Talk (RUSSIAN) Дмитрий Павлов: "MapReduce", 29 марта 2007 года, СПГЭУ (AMSE) Часть 2 из 2 Содержание: Статистика работы и использование MapReduce в работе компании Google

MapReduce Haskell

  • Length: 0:49
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  • Author: workingOnThesis

Tags: Haskell  MapReduce 

Source is online. Tuesday presentation.

Google TechTalk - MapReduce - D. PAVLOV - AMSE - P1

  • Length: 9:47
  • Rating: 3.00 (3 ratings)
  • Views: 670' favoriteCount='1
  • Author: MediaGroupProduction

Tags: AMSE  Google  MapReduce  Pavlov  Russia  Talks  Tech  Павлов  Россия 

Google Tech Talk (RUSSIAN) Дмитрий Павлов: "MapReduce", 29 марта 2007 года, СПГЭУ (AMSE) Часть 1 из 2 Содержание: Обзор возможностей технологии MapReduce и её концепция. Распараллеливание и контроль выполнения задачи.

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