“Small-n” is used to describe problems or methods where a key issue is the small size of the sample (making results uncertain).  “N=all” is an expression that sometimes appears in popular data mining literature, to suggest that, with the advent of high-speed computing and big data, sampling is no longer needed (a view disputed in the statistics community, where the bias reduction that comes from random sampling is highly valued).