ill result in faster query processing. The larger the data
volume and the more complex the queries, the bigger the
payoff from using parallel processing. It’s also important
to note that the most efficient way to distribute the playing cards (or data) is to distribute them evenly among the
four people (or parallelized units of work).
Parallelism allows ad-hoc queries to be performed as
efficiently as possible, as opposed to a single person, or
large query, becoming a bottleneck because they were
given more cards or a particular set of cards where the
work must be performed sequentially. (See Figure 1.)