Model-driven engineering (MDE) has been extended in re-
cent years to account for reliability and performance requirements since
the early design stages of an application. While this quality-aware MDE
exists for both enterprise and cloud applications, it does not exist yet
for Big Data systems. DICE is a novel Horizon2020 project that aims
at filling this gap by defining the first quality-driven MDE methodology
for Big Data applications. Concrete outputs of the project will include a
data-aware UML profile capable of describing Big Data technologies and
architecture styles, data-aware quality prediction methods, and continu-
ous delivery tools.