Azure Databricks integrates with Azure Key Vault to provide secure secret management. This allows you to store credentials, API keys, and other sensitive information in Key Vault and reference them within your Databricks notebooks and jobs without exposing the actual values.

Key benefits of using Azure Key Vault with Databricks:

• Centralized Secret Management: Store and manage all your secrets in a single, secure location.
• Enhanced Security: Secrets are encrypted at rest and in transit, minimizing the risk of exposure.
• Granular Access Control: Control who can access which secrets using Key Vault’s access policies.
• Auditing: Track who accessed which secrets and when.

How to use Azure Key Vault with Databricks:

1. Create a Key Vault-backed secret scope: This establishes a connection between Databricks and your Key Vault.
2. Reference secrets in notebooks and jobs: Use the dbutils.secrets.get() function to retrieve secrets from the Key Vault-backed scope.