dbt 0.20.0 Compatibility

🎉 dbt 0.20.0 Compatibility 🎉

🚨 This is a breaking change! 🚨 dbt v0.20.0 or greater is required for this release. If you are not ready to upgrade, consider using a previous release of this package.

Additional considerations when upgrading to this package:

• This package utilizes the latest v0.7.x release of the dbt-labls/dbt_utils package. If your project also utilizes a version of the fishtown-analytics/dbt_utils package then you will receive a duplicate package error. If this is the case you will need to consider upgrading your other packages to be compatible with this update or use a previous release of this package.
• Similar to the above point, all previous Fivetran dbt packages utilize the fishtown-analytics/dbt_utils package and you will need to upgrade all Fivetran dbt packages to the latest dbt 0.20.0 compatibility releases in order for your packages to run without package conflicts.

Postgres Compatibility

🎉 Postgres Compatibility 🎉

This release incorporates Postgres compatibility changes. These changes are non-breaking and only include changes for integration testing and Postgres specific updates to the package.

Fivetran Utils Dependency Update

🚧 Fivetran Utils Dependency Update 🚧

This release includes the following non-breaking changes:

• Update to the packages.yml to reference the recently released Fivetran Utils package. This is a necessary update to ensure this package is compatible with previous dbt releases before dbt v0.20.0 updates take place.

Databricks Compatibility

This release incorporates the following non-breaking changes:

• Databricks compatibility

Custom Schema Update

🚨 This update introduces a breaking changes in the form of custom schemas to output models into a respective <target.schema>+_stg_microsoft_ads schema. Refer to the ReadMe for more details. 🚨

The release also:

• Incorporates Github pages for easy dbt docs hosting
• Minor documentation updates

dbt 0.19.0 Compatibility

This release introduces compatibility with dbt 0.19.0. There are no known breaking changes.

Initial Release

This is the initial release of this package.

This package is designed enrich your Fivetran data by doing the following:

• Add descriptions to tables and columns that are synced using Fivetran
• Add freshness tests to source data
• Add column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
• Model staging tables, which will be used in our transform package

Currently the package supports Redshift, BigQuery and Snowflake.