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Data Analysis and Map-Reduce with mongoDB and pymongo

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Alexander Hendorf - Data Analysis and Map-Reduce with mongoDB and pymongo [EuroPython 2015] [22 July 2015] [Bilbao, Euskadi, Spain]

The MongoDB aggregation framework provides a means to calculate aggregated values without having to use map-reduce. While map-reduce is powerful, it is often more difficult than necessary for many simple aggregation tasks, such as totaling or averaging field values.

See how to use the build-in data-aggregation-pipelines for averages, summation, grouping, reshaping. See how to work with documents, sub- documents, grouping by year, month, day, etc.

This talk will give many (live) examples how to make the most of your data with pymongo with a few lines of code.

added 28/07/15: iPython notebook & sample data can be found in [this git][1]

[1]: https://bitbucket.org/alanderex/ep2015-dataanalysis-with-mongodb

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