- Slopegraphs — a nifty Tufte visualization which conveys rank, value, and delta over time. Includes pointers to how to make them, and guidelines for when and how they work. (via Avi Bryant)
- Ask Me Anything: A Technical Lead on the Google+ Team — lots of juicy details about technology and dev process. A couple nifty tricks we do: we use the HTML5 History API to maintain pretty-looking URLs even though it’s an AJAX app (falling back on hash-fragments for older browsers); and we often render our Closure templates server-side so the page renders before any JavaScript is loaded, then the JavaScript finds the right DOM nodes and hooks up event handlers, etc. to make it responsive (as a result, if you’re on a slow connection and you click on stuff really fast, you may notice a lag before it does anything, but luckily most people don’t run into this in practice). (via Nahum Wild)
- scalang (github) — a Scala wrapper that makes it easy to interface with Erlang, so you can use two hipster-compliant built-to-scale technologies in the same project. (via Justin Sheehy)
- Madlib — an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data. (via Mike Loukides)
Four short links: 12 July 2011
Rare Visualization, Google+ Tech, Scala+Erlang, and In-Database Analytics
tags: analytics, Big Data, databases, erlang, google plus, machine learning, open source, scala, scaling, visualization
