[Feature] ADD Databricks support to package about dbt_zendesk

[fivetran-joemarkiewicz]

Hi @lucascrespo88 thanks so much for opening this Feature Request!

Databricks 🧱 support would indeed be a great addition to this package. I would love to see if anyone else in the community is interested in seeing this feature be integrated into a future release of our Zendesk package.

In terms of priority, I will wait to see if others from the community post interest within this FR. If more folks show interest then my team can prioritize this accordingly. In the meantime though, I would like to try and help with a few solutions I have in mind to get this package working within your Databricks environment. See my notes below:

• While this package doesn't have official support for Databricks, that isn't a sure sign that it won't work. That just means we have not integrated Databricks into our CircleCi and integration tests.
• As such, it is worth a shot to try and install the package and run it within your Databricks environment to see if it is successful.
• One adjustment you will need however is adding the below to your root dbt_project.yml. This will allow for any utility package macros that are Databricks (Spark) compatible will use the appropriate funtion.

## dbt_project.yml
dispatch:
  - macro_namespace: dbt_utils
    search_order: ['spark_utils', 'dbt_utils']

• If you run the package with the added config to your root dbt_project.yml and see that there is just a minor error or two that can quickly be adjusted, feel free to fork the package and make those adjustments.
• Additionally, if you see it works on your end you are always welcome to open a PR to contribute back or let us know it worked! If it works without an issue I can easily add it to our README.

Thanks and I hope the above is helpful! I look forward to seeing if others from the community are interested in this feature being integrated into the package in the future.

[fivetran-marioamaya]

Prospect Kueski is very interested in leveraging this package for their Databricks based deployment

[fivetran-joemarkiewicz]

Hi All, I just wanted to share an update that our team is currently working to make the package compatible with Databricks! You should see a release next week to support Databricks.

[fivetran-jamie]

released with v0.9.0!