Differential dataflow is a data-parallel programming framework designed to efficiently process large volumes of data and to quickly respond to arbitrary changes in input collections. You can read more in the differential dataflow mdbook and in the differential dataflow documentation. Differential dataflow programs are written as functional transformations of collections of data, using familiar ope

