- Overview
- Platform setup and administration
- Platform setup and administration
- Platform architecture
- Data Bridge onboarding overview
- Connecting a Peak-managed data lake
- Connecting a customer-managed data lake
- Creating an AWS IAM role for Data Bridge
- Connecting a Snowflake data warehouse
- Connecting a Redshift data warehouse (public connectivity)
- Connecting a Redshift data warehouse (private connectivity)
- Reauthorizing a Snowflake OAuth connection
- Using Snowflake with Peak
- SQL Explorer overview
- Roles and permissions
- User management
- Inventory management solution
- Commercial pricing solution
- Merchandising solution
Product extra dataset
Product extra dataset containing tenant-specific additional product attributes in key-value format, extending the standard Products dataset for Rebuy & Replenishment.
The product extra dataset contains tenant-specific additional product attributes in key-value format. It allows custom product metadata to be provided beyond the standard Products dataset.
Purpose
The Rebuy & Replenishment capability uses the product extra dataset to capture custom product attributes that are specific to a tenant and not covered by the standard Products dataset. Each record stores a single attribute name and value for a product, allowing flexible extension of product metadata.
Required fields
About the Constraint column: every field listed must be provided in your data. Non-null means its value cannot be null; Nullable means the value may be sent as null (or left blank in your source). Primary key, Unique, and Foreign key describe the field's role in the data model; a Primary key is always non-null.
| Field | Description | Type | Constraint |
|---|---|---|---|
product_id | Unique identifier for the product the attribute belongs to. | string | Primary key |
product_extra_id | Unique identifier for the extra attribute record. | string | Primary key |
product_extra_attribute | Name of the custom attribute. | string | Non-null |
product_extra_value | Value of the custom attribute. | string | Nullable |
created_at | Date and time the record was created. | datetime | Non-null |
Usage notes
- This dataset is optional and only required when custom product attributes are needed beyond the standard Products dataset.
- Each record represents a single attribute as a key-value pair, so a product can have multiple records.
- Product identifiers must align with the corresponding Products dataset.
- Attribute names should be used consistently across records to support reliable analysis.