Settings you configure for each stage of a deployment pipeline, covering data sources, parameters and the default lakehouse, so that content arriving in a stage connects to that stage's own data. Changes apply from the following deployment onwards.
Read more: Microsoft Learn
In the Ultra Transcenders books
Each book explains Deployment rules in context, with comparison tables and the common traps.
Terms in this definition
- Deployment pipeline
A Fabric tool for managing the lifecycle of content, moving item definitions (but never the data itself) from one workspace to the next, where each workspace plays the part of a stage like development, test or production.
- Default lakehouse
Pinned to a notebook, it determines where relative
Files/andTables/paths and Spark SQL table names without a qualifier point. If you switch to another lakehouse or rename it, the session must be restarted. - APPLY
Evaluates a table-valued expression for every row on its left, inside
FROM. Think ofOUTER APPLYas a left outer join andCROSS APPLYas an inner join. - Model deployment
Inside a resource, each deployment is a named copy of a Foundry model with its own TPM quota and deployment type. Requests identify the model by this deployment name.