Amazon Personalize now makes it easier to modify datasets by allowing customers to add columns to an existing schema. Amazon Personalize uses datasets provided by customers to train custom personalization models on their behalf. Customers modify existing datasets to add new filtering columns for enhanced business logic and to add new columns that can improve model training. Previously, to add new columns customers would need to reproduce existing resources starting at the dataset level. With this feature, customers can quickly update their schema to append an additional column without having to reproduce resources.
Source:: Amazon AWS