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Name: PyCascading for Intuitive Flow Processing With Hadoop
--client continuum --show pydata_sv_2013 --room a1 2234 --force
Next: 5 Practical Time Series Modeling and Analysis
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Author(s):Gabor Szabo
LocationA1
Date mar Tue 19 Days Raw Files
Start13:15 First Raw Start13:15
Duration00:50:00 Offset0:00:47
End 14:05 Last Raw End 14:06
Chapters 00:00 0:35:43
Total cuts_time42 min.
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assets release.pdf PyCascading_for_Intuitive_Flow_Processing_With_Hadoop.json
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2013-03-19/13_15_47.dv 13:15:47 - 13:17:40 ( 00:01:53 ) S: 13:15:47 - E: 13:17:40 D: 00:01:53
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2013-03-19/13_17_41.dv 13:17:41 - 13:18:15 ( 00:00:34 ) S: 13:17:41 - E: 13:18:15 D: 00:00:34
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2013-03-19/13_18_15.dv 13:18:15 - 13:53:58 ( 00:35:43 ) S: 13:18:15 - E: 13:53:58 D: 00:35:43
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2013-03-19/13_53_58.dv 13:53:58 - 14:01:12 ( 00:07:14 ) S: 13:53:58 - E: 14:01:12 D: 00:07:14
vlc ~/Videos/veyepar/continuum/pydata_sv_2013/dv/a1/2013-03-19/13_53_58.dv :start-time=00.0 --audio-desync=0
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2013-03-19/14_01_12.dv 14:01:12 - 14:01:22 ( 00:00:10 ) S: 14:01:12 - E: 14:01:22 D: 00:00:10
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2013-03-19/14_04_42.dv 14:04:42 - 14:06:44 ( 00:02:02 ) S: 14:04:42 - E: 14:06:44 D: 00:02:02
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2013-03-19/13_18_15.dv
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2013-03-19/14_04_42.dv
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