Early in 2017, our existing data aggregations were just not cutting it. We tried shifting aggregation over to a Spark based framework and found it was lacking for our purposes. By employing the concept of tree-based aggregation we achieved better performance, better scale in reduced cost and also less developer's headache. Come to this talk to learn all about it, and see if your organization too can benefit from switching over some map-reduce functions to the forest.