Rand Arete rand

Streaming Systems:

Differential Dataflow - The code is ugly Rust, but the logic and linked papers are quite interesting.
Spinning Fast Iterative Dataflows - Flink's execution model. Also, coverage in the Morning Paper.
Discretized Streams - Spark Streaming's model of operation.
Google's Dataflow Model - This is now also available as Apache (Incubating) Beam.
Kafka Streams - Kafka offers "hipster stream processing," and a nice unification between tables and streams.

Streaming More G

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

Keybase proof

I hereby claim:

I am rand on github.
I am rand (https://keybase.io/rand) on keybase.
I have the public key with fingerprint 1910 8196 4E35 8470 E8AB C7A7 2C2B 50D5 A3C3 E7CC

To claim this, I am signing this object:

Make it real

Ideas are cheap. Make a prototype, sketch a CLI session, draw a wireframe. Discussions around concrete examples, not handy-waving abstractions. Don't say you did something, provide a URL that proves it.

Ship it

Nothing is real until it's being used by a real user. This doesn't mean you make a prototype in the morning and blog about it in the evening. It means you find one person you believe your product will help and try to get them to use it.

Do it with style

All of the categories!

I wrote a really simple JavaScript script that uses jQuery to extract all the categories from Facebook's "Create a page" page.

Instructions

Navigate to the Create a page page.
jQuerify the page.
Open up your JavaScript console of choice and run the following script:

	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift: http://arxiv.org/pdf/1502.03167v1.pdf

	TuPAQ: http://arxiv.org/pdf/1502.00068.pdf

	A Theory of Changes for Higher-Order Languages: http://www.informatik.uni-marburg.de/~pgiarrusso/papers/pldi14-ilc-author-final.pdf

	Naiad/Timely Dataflow: http://research.microsoft.com/pubs/201100/naiad_sosp2013.pdf

	Dedalus: http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-173.pdf

	require 'formula'

	class ScalaDocs < Formula
	homepage 'http://www.scala-lang.org/'
	url 'http://www.scala-lang.org/downloads/distrib/files/scala-docs-2.9.3.zip'
	sha1 '633a31ca2eb87ce5b31b4f963bdfd1d4157282ad'
	end

	class ScalaCompletion < Formula
	homepage 'http://www.scala-lang.org/'