This video shows you how to join several data sources related to a fictional outdoor store named Go, then build an experiment that uses the data to train a machine learning experiment. The resulting model will predict daily sales for each product Go sells.

Joining data also allows for a specialized set of feature transformations and advanced data aggregators. After building the pipelines, you can explore the factors that produced each pipeline.

This feature is offered as a beta and is subject to change.