Make sure you didn't miss anything with this list of the Best of the Week in the Big Data Zone (Jan. 24 to Jan. 30). Here they are, in order of popularity:
The author has finished his own Big Data Search exercise, and it's interesting to see just how far out there the code is. It isn't something that you can use for much except as a basis to see how badly you are doing. Let's start with the index format: A CSV file with the value and the position in the original file.
The author mentioned several times that the entire point of his previous exercise was to just see how it works, not to actually do anything production-worthy. But it is interesting to see what could be done better here.
Data scientists working with R and Python, as well as anybody looking for interesting, new-ish, high-performance programming languages should look into the not-as-much-discussed Julia. This recent blog posts discusses the merits and uses of Julia.
This post is a quick explanation on how to use database views in Grails.
This article was dedicated to setting chart colors via scripting in Eclipse's BIRT. Aside from that, some basic terms will be mentioned, such as report parameters, dataset/datasources, and persistent global variables.