Data Science using Functional Programming
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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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Data Science using Functional Programming
Amanda Laucher
Amanda Laucher is currently working with Neo Technology, the company behind Neo4j. She is a language geek who is often found ranting about functional languages and great type systems.
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SkillsCast
Please log in to watch this conference skillscast.
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.
YOU MAY ALSO LIKE:
Thanks to our sponsors
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About the Speaker
Data Science using Functional Programming
Amanda Laucher
Amanda Laucher is currently working with Neo Technology, the company behind Neo4j. She is a language geek who is often found ranting about functional languages and great type systems.