Migrating Dbt Core To Fusion

What it does

This skill enables AI agents to execute the migration of dbt Core projects to dbt Fusion, a serverless data transformation platform. It automates the conversion process to ensure models run efficiently without managing underlying infrastructure.

When to use it

• You need to move existing dbt Core workflows to a fully managed, serverless environment like dbt Fusion.
• Your team wants to reduce operational overhead by removing the need for cluster management and maintenance.
• You require automatic handling of compatibility changes during the transition from local or containerized Core setups.
• You aim to leverage dbt Fusion's native capabilities for scaling data transformations without code modifications.

Key capabilities

• Automates the migration workflow from dbt Core to dbt Fusion environments.
• Handles infrastructure abstraction by shifting execution from user-managed clusters to serverless compute.
• Preserves model logic while adapting it for the new platform's execution context.

Example prompts

• "Migrate my existing dbt Core project to dbt Fusion using the automated migration tool."
• "Convert this specific dbt Core model to run on dbt Fusion without breaking dependencies."
• "Execute the full migration pipeline from dbt Core to dbt Fusion for our analytics team."

Tips & gotchas

Ensure your current dbt Core project follows best practices before initiating the migration, as complex custom infrastructure configurations may require manual review. Verify that all models are compatible with serverless execution constraints prior to running the automated conversion.