You monitor Azure machine learning datasets for data drift. When you create a dataset monitor, you will reference your: Baseline dataset - usually the training dataset for a model. Target dataset - usually model input data - is compared over time to your baseline dataset. This comparison means that your target dataset must have a timestamp column specified.