PF-OLA: a high-performance framework for parallel online aggregation
Online aggregation provides estimates to the final result of a computation during the actual processing. The user can stop the computation as soon as the estimate is accurate enough, typically early in the execution. This allows for the interactive data exploration of the largest datasets.
sampling online estimation parallel processing approximate algorithms user-defined aggregates (uda)