In this tutorial, you'll setup Lightdash and connect it to a demo dbt project containing some fake data. This is the fastest way to play with Lightdash on your local machine. The final result will look exactly like https://demo.lightdash.com.
You must have docker desktop >3.0.0 installed, please check any existing installation
Check docker is running by this in your terminal:
Clone the Lightdash code to your local machine. This will create a new directory called
./lightdash (the Lightdash directory).
When you run the code block below, 3 services will be started:
- A test data warehouse (postgres)
- A demo dbt project containing fake data
- A fully functional Lightdash instance for exploring the data
This command might take a while to run depending on your internet speed, while it downloads Lightdash and it's dependencies.
When you see the following in your terminal, open up the app at http://localhost:8080.
If you see the following error message:
LIGHTDASH_PORT and reopen the app at
xxxx is the port you choose.
Learn how to start exploring data with Lightdash:
- Run a query
- Create a chart
- Export query results
Get familiar with customising dimensions and metrics by editing the demo files:
Or connect up your own dbt project: