Map-reduce in RethinkDB
Map-reduce in RethinkDB
Map-reduce is a way to summarize and run aggregation functions on large data sets, potentially stored across many servers, in an efficient fashion. It works by processing the data on each server in parallel and then combining those results into one set. It was originally designed by Google and later implemented in database systems such as Apache Hadoop and MongoDB.