Azure Databricks Scope Integration and Setup

Azure Databricks Scope Integration and Setup is a crucial step in unlocking the full potential of Azure Databricks.

You can integrate Azure Databricks with Azure Active Directory (Azure AD) to authenticate users and manage access to your Databricks instance. This integration also enables single sign-on (SSO) for users.

To set up Azure Databricks Scope, you need to create a new scope in Azure AD, which will be used to authenticate users and authorize access to your Databricks instance. This scope will be used to control access to your Databricks resources.

The Azure Databricks Scope integration with Azure AD allows you to manage access to your Databricks instance based on the user's role in Azure AD, which is a great way to simplify access management.

To get started with Azure Databricks, you'll need to have a few things in place.

First and foremost, you'll need an active Microsoft Azure subscription. This will serve as the foundation for all your Azure services, including Databricks.

You'll also need an Azure Data Lake Storage Gen2 account, which is a key component of the Databricks platform. This will allow you to store and process large amounts of data.

In addition to these two, you'll need an Azure Databricks Workspace with a Premium Pricing Tier. This will give you access to the full range of Databricks features and capabilities.

Lastly, you'll need an Azure Key Vault to store your application authentication key securely. This will help protect your data and ensure that it's only accessible to authorized personnel.

Here are the specific prerequisites you'll need:

Azure Databricks Configuration is a crucial step in setting up the platform. To begin, you need to configure an Azure AD application for Azure Databricks SSO to add the additional resource permission for Azure Databricks.

This involves creating a new application in the Azure portal and clicking on Authentication. Under Allow public client flows, toggle Enable the following mobile and desktop flows to Yes.

By following these simple steps, you'll be able to configure your application in Azure AD and set up Azure Databricks for single sign-on.

Azure Databricks creates a new locked virtual network by default when you deploy a workspace. This virtual network is managed by Databricks and is where all clusters are created.

You can deploy Azure Databricks in your own virtual network for more control over network features. This allows you to manage security yourself.

To deploy Azure Databricks in your own virtual network, you need to be running in the Premium tier. This tier gives you the flexibility to control the security of your workspace.

In the Premium tier, you can apply traffic restrictions using network security group rules. This helps you manage who can access your data and workspace.

You can also access data sources from on-premise and connect to Azure services using service endpoints. This is a game-changer for organizations with existing infrastructure.

By specifying IP ranges that can access the workspace, you can further customize the security of your Azure Databricks setup.

To configure your Azure Databricks application, you'll need to add the necessary permissions. This involves creating an Azure AD application for Azure Databricks SSO.

You'll need to go to the Azure portal and create a new application. This will allow you to add the additional resource permission for Azure Databricks.

The process is straightforward: create an Azure AD application, go to the authentication settings, and toggle on the public client flows.

Secret scopes are collections of secrets identified by a name, and Databricks recommends aligning them to roles or applications rather than individuals.

By default, the user who creates a secret scope is granted the MANAGE permission, allowing them to read secrets, write secrets, and manage permissions on the scope.

To grant a user permissions on a secret scope, you can use the Databricks CLI, specifying the principal field with the user's email address, application ID, or group name.

To view all secret scope permissions for a given secret scope, you can make a request to get the secret scope permissions applied to a principal. If no ACL exists for the given principal and scope, the request will fail.

You can also use the Secrets API to manage secret access control, but this is not covered in this section.

Granting access to an ADLS account is a straightforward process. You'll need to assign an access role to your service principal, which is created automatically upon registering an app.

To do this, go to the Azure portal home and open the resource group in which your storage account exists. Click on Access Control (IAM) to proceed.

Select + Add and click Add role assignment to assign the Storage Blob Data Contributor role to your service principal. This is the role needed to access data in your storage account.

Here are the specific steps to assign the Storage Blob Data Contributor role:

This will grant your service principal the necessary permissions to access your ADLS account.

Managing permissions is a crucial aspect of permissions management in Databricks. You can manage secret scopes and their permissions using the Databricks CLI or the Secrets API.

To grant a user permissions on a secret scope, you can use the Databricks CLI. You'll need to make a put request for the principal, specifying the user's email address, service principal applicationId value, or group name.

Secret scopes are stored in an encrypted database owned and managed by Databricks. You can assign permissions to grant users access to read, write, and manage secret scopes.

By default, the user who creates a secret scope is granted the MANAGE permission, allowing them to read secrets in the scope, write secrets to the scope, and manage permissions on the scope.

To view all secret scope permissions for a given secret scope, you can use the Databricks CLI or the Secrets API. If no ACL exists for the given principal and scope, this request will fail.

Here's a summary of the secret permission levels:

Note that deleting a secret scope deletes all secrets and ACLs applied to the scope.

Security and Authentication in Azure Databricks is a top priority.

To control user access to data, Credential Passthrough is a premium feature that allows users to authenticate to Azure Data Lake Store using their Azure Active Directory identity logged into Azure Databricks.

This feature needs to be enabled on the cluster and allows users to log-in and execute read/write commands to Azure Data Lake Store without using a service principal. Users can only read/write data based on the roles and ACLs they have been granted on the Azure Data Lake Store.

Credential Passthrough is available on High Concurrency and Standard clusters.

To create a Databricks Data Source with OIDC Single Sign-On, you need to follow these steps: