To orchestrate a Snowplow + Databricks pipeline with tools like Airflow or dbt:

• Use Apache Airflow to automate data ingestion and scheduling tasks. Airflow can manage workflows that pull data from Snowplow and push it to Databricks for processing
• Use dbt to handle data transformations in Databricks. Dbt can model raw Snowplow events into structured datasets that are ready for analysis or machine learning
• Airflow can also be used to trigger machine learning workflows in Databricks once the data is processed