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