Hadoop, Map Reduce, and Big Data Sets Part II/II Hadoop, Map Reduce, and Big Data Sets Part II/II
Posted by: sfmodi

Video duration: 481 seconds
Global video hits: 135

A conversation on Hadoop between Sohrab Modi - VP, Chief Technology Office, Sun Microsystems & Chris Wensel, Founder Concurrent, Inc.

Related: analytics, apache, bigdata, google, hadoop, hbase, hpc, sohrab, sun, supercomputing, wensel, yahoo

Hadoop, Map Reduce, and Big Data Sets Part I/II Hadoop, Map Reduce, and Big Data Sets Part I/II
Posted by: sfmodi

Video duration: 344 seconds
Global video hits: 175

A conversation on Hadoop between Sohrab Modi - VP, Chief Technology Office, Sun Microsystems & Chris Wensel, Founder Concurrent, Inc.

Related: analytics, apache, bigdata, google, hadoop, hbase, hpc, sohrab, sun, supercomputing, yahoo

2008.10.3 web20 12 - Mapreduce - Hadoop 2008.10.3 web20 12 - Mapreduce - Hadoop
Posted by: wecolab

Video duration: 213 seconds
Global video hits: 288

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Related: fju, mapreduce, sls, web20, weco

Peter Kukol: Large-scale computing Peter Kukol: Large-scale computing
Posted by: googlegooroo

Video duration: 3648 seconds
Global video hits: 836

Large-scale computing, Google-style: MapReduce, BigTable, Hadoop, HDFS and others

Related: day, developer, gdd, google, kukol, peter, praha

Data Processing in the Cloud Data Processing in the Cloud
Posted by: videoscribe21st

Video duration: 211 seconds
Global video hits: 46

This is the trailer for a presentation at DataServices World about distributed processing solutions for grid and cloud computing, including Hadoop and Map/Reduce. The speaker is Parand "Tony" Darugar, the Director of Software Archiecture at Yahoo! The full presentation (duration 49:44) is viewable at DataServicesWorld.co m.

Related: apache, cloud, computing, darugar, data, distributed, hadoop, index, mapreduce, processing, services, warehouse, web, world, yahoo

Cluster Computing and MapReduce Lecture 1 Cluster Computing and MapReduce Lecture 1
Posted by: GoogleDevelopers

Video duration: 2776 seconds
Global video hits: 58206

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.

Related: cluster, computing, distributed, gfs, hadoop, mapreduce, parallel

Cluster Computing and MapReduce Lecture 2 Cluster Computing and MapReduce Lecture 2
Posted by: GoogleDevelopers

Video duration: 3125 seconds
Global video hits: 18613

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.

Related: cluster, computing, distributed, gfs, hadoop, mapreduce, parallel

Academic Cluster Computing Initiative Academic Cluster Computing Initiative
Posted by: Google

Video duration: 279 seconds
Global video hits: 20504

In October 2007, Google announced that it was partnering with IBM to provide largescale cluster computing resources to undergraduate computer science students along with a creative commons licensed curriculum. Using the cluster and curriculum as a starting point, students have been able to develop some compelling projects.

Related: academic, cluster, computing, gfs, google, hadoop, ibm, initiative, mapreduce, uw

Cluster Computing and MapReduce Lecture 3 Cluster Computing and MapReduce Lecture 3
Posted by: GoogleDevelopers

Video duration: 2680 seconds
Global video hits: 12358

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.

Related: cluster, computing, distributed, gfs, hadoop, mapreduce, parallel

Cluster Computing and MapReduce Lecture 4 Cluster Computing and MapReduce Lecture 4
Posted by: GoogleDevelopers

Video duration: 1410 seconds
Global video hits: 54856

Lecture 4: Clustering Algorithms with MapReduce. See
http://code.googl e.com/edu/content/su bmissions/mapreduce- minilecture/listing. htmlfor slides and other resources.

Related: cluster, computing, distributed, gfs, hadoop, mapreduce, parallel
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