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

azuredevops
Official
Premium

Azure DevOps

The CloudQuery Azure DevOps plugin reads information from your Azure DevOps account and loads it into any supported CloudQuery destination

Publisher

cloudquery

Latest version

v4.4.0

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 DevOps source plugin

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

kind: source
# Common source-plugin configuration
spec:
  name: azuredevops
  path: cloudquery/azuredevops
  registry: cloudquery
  version: "v4.4.0"
  tables: ["*"]
  destinations: ["databricks"]

  # Azure DevOps specific configuration
  spec:
    personal_access_token: "${AZURE_DEVOPS_PERSONAL_ACCESS_TOKEN}"
    organization_url: "${AZURE_DEVOPS_ORGANIZATION_URL}"
    # Optional parameters
    # concurrency: 10000

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 azuredevops.yml databricks.yml

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