Sergii S zhelezoglo

Advanced Functional Programming with Scala - Notes

1. Mastering Functions

A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.

val square : Int => Int = x => x * x

General Background and Overview

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

##Reactive System Design Links

#Articles and Papers

The Reactive Manifesto: http://www.reactivemanifesto.org/
https://en.wikipedia.org/wiki/Reactive_programming
https://en.wikipedia.org/wiki/Functional_reactive_programming
Design Methods for Reactive Systems book slides: http://booksite.elsevier.com/9781558607552/slides/slides.pdf
Programming without a callstack Event Driven Architectures By G Hohpe: http://www.eaipatterns.com/docs/EDA.pdf
On Distributed Memory Systems: http://blog.paralleluniverse.co/2012/07/10/on-distributed-memory/
Disruptor source code, papers and articles: https://lmax-exchange.github.io/disruptor/

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