This paper reviews the Ogre classification of Big Data application with 50 facets divided into four groups or views. These four correspond to Problem Architecture, Execution mode, Data source and style, and the Processing model used. We then look at multiple existing or proposed benchmark suites and analyze their coverage of the different facets suggesting a process to obtain a complete set. We illustrate this by looking at parallel data analytics benchmarked on multicore clusters.