Unlocking Secrets in Azure Databricks with Azure Key Vault! 🗝️✨ | Azure Databricks Tutorials

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#databricks #azuredatabricks #azuredataengineer #azure

In this tutorial, we'll guide you through the process of enhancing the security of your Azure Databricks notebooks by integrating them with Azure Key Vault. Learn how to safely manage and access sensitive values, such as API keys or connection strings, using Databricks secrets and Azure Key Vault. We'll walk you through the step-by-step process of setting up the integration, retrieving secrets within your Databricks notebook, and ensuring a secure and streamlined approach to handling confidential information. Elevate your data engineering workflows with best practices for safeguarding your secrets in Azure Databricks. Watch now and level up your data security game! #AzureDatabricks #AzureKeyVault #DataSecurity #Tutorial

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u saved my tim4 hour time or more, thank you so much, keep your good work

NripaEmpowerthroughknowledge
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Great Content! Please cover delta sharing and CDF

Ignalvarez
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Awesome work. Can you please create a video on how you would do this across diff env., like from dev to uat to prod env, obviously this won’t be done manually in each environment, can you show how we propagate these role assignment changes to other env. Thanks.

MuzicForSoul
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Thank you for this video which saved me a lot of time

curiousobserver-vkho
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Excellent video. Thanks for your efforts.

pspointssara
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I thing i'm not able to understand is for accessing any azure resource in databricks, some authentication has to be done from databricks side. how is databricks able to access key vault secrets without authentication. in the example you just provided the key vault uri and resource id. How's databricks able to fetch the secret values without authentication?

RanjeetkumarYadav
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Thank you very much for the video.

if secrete_name == 'test':

what right approach to validate, can you please tell.

NagendraSandu-kc
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print(secrets[:1], secrets[1:])
This gives you the secret name.

gokulvasanth