Hybrid data analysis systems integrate an analytic tool and a data management tool. While hybrid systems have benefits, in order to be effective data movement between the two hybrid components must be minimized. Through experimental results we demonstrate that under workloads whose inputs vary in size, shape, and location, automation is the only practical way to manage data movement in hybrid systems.
['Patrick Leyshock', 'David Maier', 'Kristin Tufte']
Data movement in hybrid analytic systems: a case for automation