Use Project Artifacts and TrainingSets to store the output of your data analysis jobs or training runs.
- Project artifacts
An artifact is a file whose purpose is not source code or a data set. Artifacts usually contain the output from your data analysis jobs, such as plots, charts, serialized models, and so on. Your workspaces, jobs, and other executables can access data in your project artifacts just as they would any other source of data.
A TrainingSet is a versioned set of data, column information, and other metadata. Use TrainingSets to persist dataframes for model training and other analysis. You can store and load multiple versions of a given dataframe from a training set so you can connect a model to the specific version of a dataframe that was used to train it.