Hafidz Zulkifli

A repository of some of the places I've been to in learning Apache GraphX. Apache Spark ( http://spark.apache.org/docs/latest/ ) How can you not learn about Spark to learn GraphX? A nice introduction to Spark, and from there you can dive into other components. Download Spark, and just start playing with Scala. First Step to Scala ( http://www.artima.com/scalazine/articles/steps.html ) More tutorials on Scala. A step-by-step approach on some basic Scala skills Functional Programming Principles in Scala ( https://class.coursera.org/progfun-004/lecture ) A course on Scala by none other than Martin Odersky himself. A great way to learn Scala and work in Spark better. AMP Camp by Stanford ( http://ampcamp.berkeley.edu/stanford-workshop/index.html ) Exploring the BDAS stack by Stanford University. If you're in the States - this is probably the best way to learn about Spark, Scala, GraphX, MLib. Why do I put that restriction? It's because to be able to make full use o...

Can Netezza do network analysis? That is the current predicament that I was put under for the past couple of weeks. Based on the set of hardware that I've (read: my company) got with me - I'm supposed to be using it to calculate the usual set of social network measurements (i.e degree, betweenness, closeness, eigenvector etc).  2 weeks have passed and while it was relatively easy to calculate the degree centrality - betweenness have proven to be quite a challenge. So far I've been able to translate Djikstra's work in determining shortest path between nodes, and using those to determine the betweenness (refer back to the formula of betweenness centrality if you're lost here). The results have been tested on a small scale network with 10 vertices - and the values match with ones given in Gephi - so initially I was quite confident to be able to simply pump in the actual data from my telecom network. That however didn't go as smoothly. The amount of memo...