Where data is Big

Big Data is all the rage which our CIO likens to Data Warehouse I am told:

A closer look at some interesting tools. Skytree looks like a shiny tool from sci-fi, "Skytree is more focused on the guts than the shiny GUI. Skytree Server is optimized to run a number of classic machine-learning algorithms on your data using an implementation the company claims can be 10,000 times faster than other packages. It can search through your data looking for clusters of mathematically similar items, then invert this to identify outliers that may be problems, opportunities, or both. The algorithms can be more precise than humans, and they can search through vast quantities of data looking for the entries that are a bit out of the ordinary. This may be fraud -- or a particularly good customer who will spend and spend."

http://www.infoworld.com/d/business-intelligence/7-top-tools-taming-big-data-191131?page=0,2

NoSQL goes hand in hand and here is imitation by Oracle to join the bandwagon

http://www.infoworld.com/d/data-explosion/first-look-oracle-nosql-database-179107?page=0,2

Does Ruby really get IT ?

Once upon a time, developer productivty was indeed a rational argument for choosing one language over another. When we moved from Assembly to C, for instance -- we're talking a major reduction in finger ache, let alone not having to manage the stack. When we moved from C++ to Java, not having to manage memory was huge. But the individual productivity difference from Java to Ruby is comparatively small. 


More here



http://www.javaworld.com/javaworld/jw-05-2012/120531-ruby-and-the-developer-productivity-myth.html