Today we have decided to focus a bit more on the "Why" angle of Big Data, in an attempt to outline the output of your efforts. More specifically, we'll stop at BigData Analytics, their essence, purpose and variety, that fuel predictive business decisions.

Let's hinge towards IBM Data Scientists for a deeper dive into the BigData concepts. Hopefully, this syrup will enrich your BASICs appetite whilst delivering a better understanding of those "under-the-hood" processes.

We're ending the infrastructure-related series with a scope vs pattern mix&match. Find out which architecture fits your scope and why you should go with one over another. #teamEBS #software #architectures #learningenvironment

Gather 5 programmers in one room and give them the same task. You’ll be quite surprised that each will submit a diverse tree of thought, because of numerous gaps in skill, knowledge and practice. Yet, when you click run, the result will be the same. So how do you bundle these internet troublemakers together? Even […]

”know that every border you cross, every purchase you make, every call you dial, every cell phone tower you pass, friend you keep, site you visit and the subject line you type; is in the hands of a system, whose reach is unlimited, but whose safeguards are not.” - #citizen4