LMFAO: An engine for batches of group-by aggregates
Maximilian Schleich, Dan Olteanu · Zurich Open Repository and Archive (University of Zurich) · 2020
LMFAO is an in-memory optimization and execution engine for large batches of group-by aggregates over joins. Such database workloads capture the data-intensive computation of a variety of data science applications. We demonstrate LMFAO for three popular models: ridge linear regression with batch gradient descent, decision trees with CART, and clustering with Rk-means.