Functional Programming eXchange 2014 / Data Science using Functional Programming

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Description

Functional Programming has had it's 15 minutes of fame - again. Now it's data's turn - again. Obviously the best way to stop this cycle is to merge the two. Let's put functional concepts into the database! Reducing over relationships in graphs takes our data to the next level. Persisting that to the database saves us impedance mismatch and the overhead involved in the mapping. In this session we will talk about Neo4j and how we can use cool ideas from graph theory to get more value from our data.
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