dbt_utils.star Update

This release includes the following non-breaking fixes:

• With the update of the dbt_utils.star macro, this package no longer needs to accomodate casing for Snowflake users. In fact the casing now caused errors for previous Snowflake users of this package. This release removes the previous logic and allows the casing to be handled by the dbt_utils.star macro.

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.
• For Databricks users this compatibility is currently only available for >=dbt 0.20.1rc1. If you want more information on upgrading your dbt-spark version, you can refer to the dbt-spark release for further details.

Use delete+insert Incremental Strategy for Snowflake

Happy Tuesday!

This minor change addresses #4, in which incremental runs on the klaviyo__events model failed in Snowflake warehouses.

Special thanks to Fishtown for making the solution comically easy to find in the dbt docs 🥇

Databricks Compatibility

Happy Tuesday! This tiny release introduces compatibility with Databricks 🧱

Initial Release

This is the initial release of this package.

This package enables you to better understand the efficacy of your email and SMS marketing efforts at the campaign, flow, and person grains. It partly achieves this with a hefty last-touch event attribution model. 😄

Currently the package supports Redshift, BigQuery, Snowflake, and Postgres.