Of Algebirds, Monoids, Monads, and other Bestiary for Large-Scale Data Analytics - Michael G. Noll



Of Algebirds, Monoids, Monads, and other Bestiary for Large-Scale Data Analytics - Michael G. Noll

Have you ever asked yourself what monoids and monads are, and particularly why they seem to be so attractive in the field of large-scale data processing? Twitter recently open-sourced Algebird, which provides you with a JVM library to work with such algebraic data structures. Algebird is already being used in Big Data tools such as Scalding and SummingBird, which means you can use Algebird as a mechanism to plug your own data structures – e.g. Bloom filters, HyperLogLog – directly into large-scale data processing platforms such as Hadoop and Storm. In this post I will show you how to get started with Algebird, introduce you to monoids and monads, and address the question why you should get interested in those in the first place.


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