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Use the databricks terraform provider to interact with almost all of databricks resources If you're new to databricks, please follow guide to create a workspace on azure or aws and then this. If you're new to databricks, please follow guide to create a workspace on azure, aws or gcp and then.

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The goal of the databricks terraform provider is to support all databricks rest apis, supporting automation of the most complicated aspects of deploying and managing your. Configure terraform to use the databricks provider for git folder access with a service principal and a git user account. You can use the databricks terraform provider to manage your azure databricks workspaces and the associated cloud infrastructure using a flexible, powerful tool.

Databricks_model_serving resource this resource allows you to manage model serving endpoints in databricks, including custom models, external models, and foundation models

Learn how to manage databricks workspace resources, such as databricks secrets, access tokens, notebooks, jobs, and clusters, by using terraform. This tutorial has shown how to automate databricks infrastructure with terraform, including infra provisioning, access control, job automation, ci/cd integration, and monitoring, but more. Learn how to manage azure databricks workspace resources, such as azure databricks secrets, access tokens, notebooks, jobs, and clusters, by using terraform.