A short introduction to software testing. Understand how software testing works, it's importance and bottlenecks experienced by a day-to-day engineer.

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.

Last time we promised a buffet of data-related topics, so here we are, keeping our promises (a default powered by our teams' environment). Advancing from abstract notions such as data drivenness, we thought a fair path towards the main course would be an introduction to BigData.

Peeling this BASICs digital onion, we've left some details out (particularly in our last article). As stated, data-centric applications deserve their series, a journey we're kicking off today. Before talking about BigData, strategies and mechanics, let's filter the messy data-centric vs data-driven dilemma.

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