Under the hood, dbt uses a macro called generate_schema_name to determine the name of the schema that a model should be built in. The code for the macro that expresses the current logic follows: {% macro generate_schema_name(custom_schema_name, node) -%} {%- set default_schema = target.schema -%} {%- if custom_schema_name is none -%}. QuickBooks Source. This package models QuickBooks data from Fivetran's connector. It uses data in the format described by this ERD. This package enriches your Fivetran data by doing the following: Adds descriptions to tables and columns that are synced using Fivetran. Adds column-level testing where applicable.

The first step in DBT Snowflake Integration is to create a Snowflake account and take note of the highlighted details, which will be used to establish a DBT Snowflake connection. Image Source Step 2: Create a DBT Account. Try DBT Cloud Free to create an account with DBT. Create a new project once you've logged in. Follow the steps below to. Sep 29, 2021 · dbt provides an easy way to create, transform, and validate the data within a data warehouse. dbt does the T in ELT (Extract, Load, Transform) processes. In dbt, we work with models, which is a sql file with a select statement. These models can depend on other models, have tests defined on them, and can be created as tables or views..