This article describes how to create and configure a Peak workflow that will automate the end-to-end process that is required to train and deploy an Amazon Personalize solution.
Before you start
- Ensure your data is available in Redshift
All interaction, item and user data must be imported into a Redshift table on the Peak platform.
For details of how to access data from the Peak platform, see Data Sources.
- Determine your recommendation use case
This is so that you can identify the data that you’ll need to import and the recipe to use to train the model.|
For a description of the datasets and recipes that Amazon Personalize uses, see: Amazon Personalize: Concepts and Terminology.
Peak users can manage the whole process using the Workflows functions.
To get to the Workflow screens:
- Go to Factory > Workflows.
To configure a Workflow for Amazon Personalize, you will need to: