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Name: Luigi - Batch Data Processing in Python
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Author(s):	Elias Freider
Location	A1
Date	mar Wed 20	Days Raw Files
Start	10:00	First Raw Start	10:05
Duration	00:50:00	Offset	0:05:04
End	10:50	Last Raw End	11:27
Chapters	00:00 0:34:56
Total cuts_time	38 min.

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assets release.pdf Luigi_Batch_Data_Processing_in_Python.json
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Description:	Luigi is Spotify's recently open sourced Python framework for batch data processing including dependency resolution and monitoring. We will demonstrate how Luigi can help you get started with data processing in Hadoop MapReduce as well as on your local workstation. Spotify has terabytes of data being logged by backend services every day for everything from debugging to reporting reasons. The logs are basically huge semi-structured text files that can be parsed using a few lines of Python. From this data aggregated reports need to be created, data needs to be pushed into SQL databases for internal dashboards, related artists need to be calculated using complex algorithms and a lot of other tasks need to be performed, many of which have to be run on an daily or even hourly basis. A lot of the initial processing steps are very similar for the many data products that are produced, and instead of re-doing a lot of work, intermediate results are stored and form dependencies for later tasks. The dependency graph forms a data pipeline. Luigi was created for managing task dependencies, monitoring the progress of the data pipeline and providing frameworks for common batch processing tasks. markdown
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2013-03-20/10:44:55.dv Apply: 10:44:55 - 10:48:50 ( 00:03:55 ) S: 10:44:55 - E: 10:48:50 D: 00:03:55 show more...

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2013-03-20/10:48:50.dv Apply: 10:48:50 - 10:57:41 ( 00:08:51 ) S: 10:48:50 - E: 10:57:41 D: 00:08:51 show more...

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2013-03-20/10:57:42.dv Apply: 10:57:42 - 11:16:26 ( 00:18:44 ) S: 10:57:42 - E: 11:16:26 D: 00:18:44 show more...

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2013-03-20/11:16:26.dv Apply: 11:16:26 - 11:27:10 ( 00:10:44 ) S: 11:16:26 - E: 11:27:10 D: 00:10:44 show more...

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