Lightdash
Lightdash instantly turns your dbt™️ project into a full-stack BI platform. Analysts write metrics and Lightdash enables self-serve for the entire business.
Paradime integrates natively with Lightdash CLI to enable you to develop Lightdash metrics in your dbt™️ project.
Setup a Lightdash instance
To get started you will need to setup a Lightdash instance. You can choose between Lightdash Cloud or Self-Host.
Develop Lightdash metrics
To get started developing in the Paradime Integrated Terminal open a new terminal tab and login to authenticate with Lightdash depending on your authentication method.
Lightdash CLI
Paradime support Lightdash CLI to help your develop your Lightdash metrics at scale. Autogenerate Lightdash-ready YAML
, Lightdash Preview to experiment with your metrics and deploy your new metrics to Lightdash.
To see the full list of CLI options, in the Paradime Terminal use:
Deploy Lightdash
You can use Paradime Bolt schedules to deploy to Lightdash new changes from your dbt™️ project after a PR is merged using a Paradime CD schedule or after each production run.
1. Add your Lightdash credentials to your Paradime workspace
In Paradime, navigate to account settings > workspaces and add the Lightdash required credentials to enabled the Paradime scheduler to trigger lightdash deploy
during a run.
You should set the below credentials as environment variables for your workspace in Paradime.
LIGHTDASH_API_KEY
LIGHTDASH_PROJECT
LIGHTDASH_URL
2. Setup a paradime schedule with the lightdash deploy
command
lightdash deploy
commandIn your Paradime Bolt schedule, in the commands section add the lightdash deploy
step. This will trigger a lightdash deploy after your dbt™️ commands have been executed. This will ensure changes in your dbt™️ project are made available in your lightdash project.
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