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In this section, we’ll create a Cube Cloud deployment and connect it to Snowflake. A deployment represents a data model, configuration, and managed infrastructure. To continue with this guide, you’ll need to have a Cube Cloud account. If you don’t have one yet, click here to sign up for free. First, sign in to your Cube Cloud account. Then, click Create Deployment: Give the deployment a name, select the cloud provider and region of your choice, and click Next:
Cube Cloud Create Deployment Screen
Microsoft Azure is available on Enterprise and above plans. Contact us for details.

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Set up a Cube project

Next, click Create to create a new project from scratch:
Cube Cloud Upload Project Screen

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Connect to your Snowflake

The last step is to connect Cube Cloud to Snowflake. First, select it from the grid:
Cube Cloud Setup Database Screen
Then enter your Snowflake credentials:
  • Username: Your Snowflake username. Please note, it is usually not your email address.
  • Password: Your Snowflake password.
  • Database: CUBE_DEMO, that is the database we’ve created in the previous step.
  • Account: Your snowflake account identifier. You can find it in your Snowflake URL as the account_locator part.
  • Region: Your Snowflake account region. You can find it in your Snowflake URL. If your URL includes a cloud part, use both the cloud_region_id and cloud together e.g. us-east-2.aws, otherwise just use cloud_region_id
  • Warehouse: CUBE_DEMO_WH, that is the warehouse we’ve created in the previous step.
  • Role: You can leave it blank.
Click Apply, Cube Cloud will test the connection and proceed to the next step.

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Generate data model from your Snowflake schema

Cube can now generate a basic data model from your data warehouse schema, which helps getting started with data modeling faster. Select all four tables in our ECOM schema and click through the data model generation wizard. We’ll inspect these generated files in the next section and start making changes to them.