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Export from Azure AD to Databricks

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery Azure AD plugin allows you to sync data from Azure AD to any destination, including Databricks. It takes only minutes to get started.

Azure AD
azure-ad
Premium

Azure AD

This plugin is in preview.

The CloudQuery Azure AD source plugin extracts Azure information regarding object/user/tenant relationships (i.e. Azure AD or Microsoft Entra ID) and loads it into any supported CloudQuery destination.

Publisher

year-of-the-nimbus

Latest version

v1.0.3

Type

Source

Platforms
Date Published

databricks
Official

Databricks

Sync your data from any supported CloudQuery source into the Databricks Data Intelligence Platform.

Publisher

cloudquery

Latest version

v1.2.2

Type

Destination

Platforms
Date Published

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

cloudquery login

Step 3. Configure Azure AD source plugin

You can find more information about the configuration in the plugin documentation

kind: source
spec:
  # Source spec section
  name: "azure-ad"
  path: "year-of-the-nimbus/azure-ad"
  registry: "cloudquery"
  version: "v1.0.2"
  destinations: ["databricks"]
  tables: ["azure_ad_users"]
  spec:
    # Optional parameters
    # concurrency: 50000

Step 4. Configure Databricks destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: "databricks"
  path: "cloudquery/databricks"
  registry: "cloudquery"
  version: "v1.2.2"
  write_mode: "append"
  spec:
    hostname: ${DATABRICKS_HOSTNAME} # optionally it can include protocol like https://abc.cloud.databricks.com
    http_path: ${DATABRICKS_HTTP_PATH} # HTTP path for SQL compute
    staging_path: ${DATABRICKS_STAGING_PATH} # Databricks FileStore or Unity volume path to store temporary files for staging
    auth:
      access_token: ${DATABRICKS_ACCESS_TOKEN}
    # Optional parameters
    # protocol: https
    # port: 443
    # catalog: ""
    # schema: "default"
    # migration_concurrency: 10
    # timeout: 1m
    # batch:
    #   size: 10000
    #   bytes: 5242880 # 5 MiB
    #   timeout: 20s

Step 5. Run Sync

cloudquery sync azure-ad.yml databricks.yml

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