Big Data at the Intersection of Typed FP and Category Theory – Long Cao
Channel: Typelevel
Date: 2018-04-04

Big data, functional programming, and category theory aren’t just three trendy topics smashed into a talk title as bait! Foundational ideas from typed functional programming and category theory have real and practical applications for working with big data and can also be utilized to write more principled pipelines at scale. Whether it’s aggregating with monoids or writing more typesafe Spark jobs, we’ll try and bridge these topics together in a way that can be immediately useful. Some knowledge of Scala and a big data framework like Apache Hadoop, Spark, or Beam is suggested but not necessary.

* Material *

Slides: https://slides.com/longcao/typelevel-summit-boston-2018-talk#/
Code: https://github.com/longcao/typelevel-summit-2018

* Event * 

Typelevel Summit Boston, March 2018: https://typelevel.org/event/2018-03-summit-boston/

* About Speaker *

Long Cao is a software engineer focusing on Scala, Spark, and data engineering and has been in New York for the last 5 years. He cares deeply about showing newcomers the benefits of Scala and functional programming. On his off time likes to enjoy climbing, Rocket League, music, sports, and coffee.

* Licensing *

This recording is licensed under CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/).