Hi Everyone, Spark and the RDD approach it favors assumes that most applications run on big data and need massive parallelism via sharding and concurrent computing. But some tasks run on small data and do not need or benefit from RDD parallelism. How are these tasks expected to perform on Spark?
Looking forward to more insights on this! Thanks, Prarthi
