This document discusses how to "pimp" a data grid like Oracle Coherence by using it to distribute and execute business tasks across a cluster in a scalable and fault tolerant way. It describes using backing map listeners to schedule and process tasks as they enter the data grid. Examples are given of using this approach for trading exchanges and embedding Spring applications in the data grid. The document emphasizes that data grids can be highly customized and pluggable.