  Multidimensional Big Data Analytics is an emerging area that marries the
capabilities of OLAP with modern Big Data Analytics. Essentially, the idea is
engrafting multidimensional models into Big Data analytics processes to gain
into expressive power of the overall discovery task. ClustCube is a
state-of-the-art model that combines OLAP and Clustering, thus delving into
practical and well-understood advantages in the context of real-life
applications and systems. In this paper, we show how ClustCube can effectively
and efficiently realizing nice tools for supporting Multidimensional Big Data
Analytics, and assess these tools in the context of real-life research
projects.
