- 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 Inventory Management.
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 inventory management solution 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.