Many interesting objects across pure and applied mathematics (including persistence modules, cellular sheaves and connection matrices) are most naturally viewed as linear algebraic data parametrized by a finite space. In this talk, I will describe a practical framework for dimensionality reduction and linear optimization over a wide class of such objects.