I’m working on providing real time analytics where I’m interested in keeping the execution time as minimum as possible. The data source comes from a hadoop cluster where the execution at the moment takes about 7 minutes. I have used nested functions all the way. Given that I cannot increase the cluster performance further, Would the execution time be brought down if I replace the nested functions using a %>% (Read as Piping Operator offered by dplyr and magrittr package).?