I am using R for building a predictive model. My data is stored in mongoDB collections. So i connected to MOngoDB using R to get the data and creating a dataframe in R by converting the BSON values to list and storing about 64567 records using a cursor, which took about 15 minutes.
Its taking more time to create the dataframe everyday. Did anyone over here worked in similar situations? How did you solve this time issue?