This gist started with a collection of resources I was maintaining on stream data processing — also known as distributed logs, data pipelines, event sourcing, CQRS, and other names.
Over time the set of resources grew quite large and I received some interest in a more guided, opinionated path for learning about stream data processing. So I added the reading list.
Please send me feedback!
| function gsy () { | |
| git pull --rebase origin $(basename $(git symbolic-ref --short refs/remotes/origin/HEAD)) | |
| } |
| * { margin: 0; padding: 0; background: red} | |
| abbr,acronym,blockquote,code,dir,kbd,listing,plaintext,q,samp,tt,var,xmp { hyphens: none; } | |
| html { | |
| padding: 2em; | |
| font: normal 18px/1.25 Source Sans Pro, sans-serif; | |
| color: #000; | |
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| \documentclass[12pt]{article} | |
| \usepackage{fullpage} % Package to use full page | |
| \usepackage{parskip} % Package to tweak paragraph skipping | |
| \usepackage{tikz} % Package for drawing | |
| \usepackage{amsmath} | |
| \usepackage{hyperref} | |
| \usepackage{hyperref} | |
| \usepackage[section]{placeins} | |
| % \usepackage[scaled=2]{beramono} |
| // Use Gists to store code you would like to remember later on | |
| console.log(window); // log the "window" object to the console |
