I have my my dbt-project configured and running for dbt-postgres. Is there an easy way to port it to dbt- databricks without having to rewrite the models. Context: I am building a dbt demo on postgres, databricks and Azure SQL…
I'm trying to move from a DTL script to this a DLT DBT script. The problem is that in one of my tables I also have some other DTL processes that writes in. I read https://docs.getdbt.com/guides/migration/tools/migrating-from-stored-procedures/1-migrating-from-stored-procedures but didn't figure out…
After reading Dbt documentation, I've had a hard time to figure out how to install dbt-core (or any other packages i.e. dbt-postgres, dbt-snowflake, etc) on Windows 10. I have Docker Desktop installed, running a couple of containers already (mostly nodeJS…
I've try to use dbt on docker with the configuration from official docker and with my docker-compose.yaml and profiles.yml below. The code is from this course. After, docker compose build and dbt project init every others command (e.g., dbt debug,…
How can I run dbt commands within a bitbucket pipeline? What is the correct docker image that I should be using if I wanted to use dbt-snowflake? I tried fishtownanalytics/dbtand joevandyk/dbtboth: pipelines: custom: test-dbt: - step: name: 'Test' image: fishtownanalytics/dbt…