Alexander Hendorf - Data Analysis and Map-Reduce with mongoDB and pymongo

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]