This tutorial demonstrates the first few steps in configuring a new project.
Google BigQuery is used as the data warehouse in this example.
After opening the app.
If not signing in with GitHub, Google or Microsoft then you will need to verify your email address.
This will create a new, empty project.
Ignore the instruction to the configure the data warehouse; we'll do that next.
Big green button towards towards the central right.
Input the project ID. For alternatives warehouses, see here.
Input, credentials, and test that they are valid. See here for how to create a JSON credentials key.
This shows the exact affect it will have on the warehouse.
You've taken the first steps towards improving your data pipeline!
Some of the next features you could use next include:
Automating repeated runs using scheduling.
Checking validity of data using assertions or unit tests.