- 05 Jun 2025
- 1 Minute to read
- PDF
Sledhouse Tables (public preview)
- Updated on 05 Jun 2025
- 1 Minute to read
- PDF
Data Fulfillment is the process of delivering a Data Product to a customer-defined destination. In Bobsled, Fulfillment is tightly coupled to a Data Consumer and their entitled Data Products. Bobsled provides you with a centralized interface to observe, manage, and troubleshoot fulfillment.
FEATURE IN PUBLIC PREVIEW:
• While in Public Preview, expect some limitations. Your feedback is crucial as we build the product.
• We look forward to your feedback and to helping you integrate Sledhouse into your data architecture. Feel free to reach out if you have any questions about setup, configuration, or advanced use cases.
Overview
The Sledhouse Tables page provides the following at-a-glance fields:
Name: Internal-only display name for the Sledhouse Table.
Data source: The configured source in Bobsled from which this Sledhouse Table is defined.
Status: The schedule status of the Sledhouse Table pipeline
More options (ellipsis icon):
Edit: Allows you to edit the Sledhouse Table
Delete: Allows you to delete the Sledhouse Table.
Sledhouse Table ID
Unique identifier for that Sledhouse Table. Check our API documentation ↗ for more information on how to use it programmatically.
Sledhouse status
Bobsled provides information at a glance about your data Sledhouse Table pipeline. These are organized in the following manner:
Active (green): The Sledhouse Table is automated and without any errors
Syncing (blue): Currently transferring data
Failed (red): At least one entity has failed to transfer
Paused (gray): The data transfer is paused and will not attempt to transfer any new data
Queued (gray): The sledhouse table transfer is queued and waiting to transfer
Once your Sledhouse Table is set up, you are now ready to start defining Data Products and sharing them with Data Consumers.