dbt Cloud is a hosted service that helps data analysts and engineers productionize dbt deployments. It comes equipped with turnkey support for scheduling jobs, CI/CD, serving documentation, monitoring & alerting, and an Integrated Developer Environment (IDE).
dbt Cloud uses this connection to connect to your database when running jobs and transformation queries. Depending on the type of data warehouse you're using, you'll need to supply different configuration parameters. dbt Cloud natively supports connections to Snowflake, BigQuery, Redshift, Apache Spark, …
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This Q&A guide should help you figure out what changes you might need to make to successfully upgrade your version of dbt Core in dbt Cloud. As a reminder, we recommend everyone upgrade to the most recent version of dbt, as we will not support running all versions of dbt in Cloud indefinitely. We document which versions of dbt Core we support here.
dbt Cloud guides. Guides to help you set up your dbt project in dbt Cloud. Cloud Overview. dbt Cloud API. Technical reference docs for using the dbt Cloud APIs. API docs. Learn from the community. Every data team uses dbt to solve different analytics engineering problems. It can be useful to learn how other teams are using dbt …
Create a dbt Cloud account here. If your organization already has a dbt Cloud account, ask an admin to add you as a Developer. If you created a new account, a new project should automatically be created. If you were added to an existing account: Click the hamburger menu, then Account Settings, then Projects.
Check out the docs to get started, and get support from the dbt community. The entire dbt Cloud team is focused on keeping you and your data safe. We adhere to industry-leading standards to manage our network, secure our application, and set policies across our organization.
With this option, you can let dbt Cloud manage a repository for you. Environments specify the information required to run dbt for your project. New dbt Cloud accounts will automatically be created with a Development environment during setup. For more information about configuring this Development environment, see creating a development environment.