Kue is a priority job queue backed by Redis, built for Node.js. http://automattic.github.io/kue I started using it in my projects where I was supposed to convert the results of computer vision algorithms into GeoJSON. These algorithms generate millions of segments and are run on very large images. Hence the conversion process takes a lot of time! My goal was to provide REST endpoints to users to upload their results and view them in GeoJSON. Kue fits perfectly in this setting since my application server was in Node.js. The users submitted their results which triggered the conversion job that kue tracked and
A while back I wrote Big data visualization with dc.js and crossfilter which proved to be pretty useful for a lot of people. In the post I sketched just an outline of the solution. For someone not familiar with the workings of dc.js and crossfilter it could be pretty vague. So I've decided to write a full working example of using crossfilter on a Node.js server to render dc.js charts. I've pushed the code on Github and over the next few days I hope to refine it. The README doc would contain details of things happening under the hood.
Dataexperiments.net has been up for a couple of weeks now. Its a data science blog that I have started for journaling my data science related experiments and other interesting stuff pertaining to data science, machine learning, data visualization, big data etc. The post titled "The Goal of this Blog" clearly describes the ambitions and aims of the blog. I'll continue writing about other cool computer science related stuff here, but would have lesser data science related posts as dataexperiments would be their rightful place.