Dagster Labs outlines how Dagster complements Snowflake as an orchestration layer, covering four key capabilities: defining Snowflake assets directly from SQL files using a YAML-based component, modeling Snowflake Dynamic Tables as virtual assets in the Dagster asset graph with freshness sensors that trigger downstream runs only after a refresh completes, attributing Snowflake query costs to specific assets via Dagster+ Insights, and extending the same patterns to views, materialized views, and Cortex outputs. The post also announces Dagster's presence at Snowflake Summit.
Table of contents
Start with SQL, not PythonDynamic Tables belong in your lineage graphSee what your Snowflake pipelines actually costCome find us at Snowflake Summit58 Impressions