Batch Production

This type of production is used for time-series forecasting use cases that work with larger datasets and the results are not expected real-time.

The selected Import Data activities in the training quest will transform into Ingest Batch Data. This activity can consume only datasets from the Data Lake. It is assumed that the input dataset has the same schema as the dataset in the corresponding Import Data activity that is marked in the training quest. The same schema assumes the same variables of the same types. You can select multiple Input data activities from the training quest.

Saving and running the batch production quest produces the predictions as the output of the Score Model activity. If an Ingest to Data Lake activity is used, each run will update the dataset object in the Data Lake.

The execution of the Batch Production can be scheduled for regular runs through an ION Workflow. When the model doesn’t need retraining, you need to apply 2 steps in the workflow: Reload Datasets and Update Production Quest.

For full model retraining through an ION Workflow, see Updating the model on a schedule.