Automatic Deferral

Teams Feature

What is it?

Defers the execution of specific models during a dbt run, based on certain conditions or configurations.

Simple Explainer

Read from upstream tables even if it's in another environment (eg read from a production table when you are experimenting with new code in a development environment)

What Functional Requirement Does it Satisfy?

Efficient Data Processing

How it Reduces Cost

Reduces Unnecessary Processing By deferring models that don't need immediate updates, saving computational resources.

How it Helps Data Teams Ship Faster

Optimizes Workflow by only processing models which have changes or those impacted by upstream changes.

How it Helps Orgs Build Trust in Data and Teams

Improves data freshness by prioritizing models that need frequent updates.