University of Trás-os-Montes and Alto Douro
Big data processing is by its nature a large-scale adventure. It can create big opportunities for organizations, and it requires big hardware, which in turn requires big capital and operating investments. A single rack of commodity hardware costs on the order of a quarter million dollars to buy and tens of thousands per year to power, cool and maintain. Designing software for big data are both a technical and an economic challenge - the art of squeezing as much processing out of a hardware investment as possible.