dbt Artifacts (prratek variant)

The tap-dbt-artifacts Singer tap pulls data from dbt Artifacts that can then be sent to a destination using a Singer target.

• 
• Repository: https://github.com/prratek/tap-dbt-artifacts
• 
• 
• 
• 
• 
• 
• 
• Maintainer: Prratek Ramchandani
• Meltano Stats:
• 
• 

Standalone usage #

Install the package using pip:

pip install git+https://github.com/prratek/tap-dbt-artifacts.git

For additional instructions, refer to the README in the repository.

Usage with Meltano #

Install Meltano, create your Meltano project, and add the tap to your project as a custom extractor:

meltano add --custom extractor tap-dbt-artifacts --variant prratek

Then, configure the extractor, add any Singer target as a loader to send data to a destination and run a data integration (EL) pipeline.

Capabilities #

• catalog
• discover

Settings #

dbt Target Dir (dbt_target_dir) #

The full path to your dbt project’s target directory.

Looking for help? #

If you're having trouble getting tap-dbt-artifacts to work by itself or with Meltano, look for an existing issue in its repository, file a new issue, or join the Meltano Slack community and ask for help in the #plugins-general channel.

Found an issue on this page? #

This page is generated from a YAML file that you can contribute changes to! It is also validated against a JSON Schema used for taps and targets.

Edit this page on GitLab!