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Export from Azure DevOps to BigQuery

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 BigQuery. 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

BigQuery
bigquery
Official

BigQuery

The BigQuery plugin syncs data from any CloudQuery source plugin(s) to a BigQuery database running on Google Cloud Platform

Publisher

cloudquery

Repositorygithub.com
Latest version

v4.0.6

Type

Destination

Platforms
Date Published

Windows Setup

Step 1. Install CloudQuery

curl -L https://github.com/cloudquery/cloudquery/releases/download/cli-v5.25.0/cloudquery_windows_amd64.exe -o cloudquery.exe

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: ["bigquery"]

  # 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 BigQuery destination plugin

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

kind: destination
spec:
  name: bigquery
  path: cloudquery/bigquery
  registry: cloudquery
  version: "v4.0.6"
  write_mode: "append"
  # Learn more about the configuration options at https://cql.ink/bigquery_destination
  spec:
    project_id: ${PROJECT_ID}
    dataset_id: ${DATASET_ID}
    # Optional parameters
    # dataset_location: ""
    # time_partitioning: none # options: "none", "hour", "day"
    # service_account_key_json: ""
    # endpoint: ""
    # batch_size: 10000
    # batch_size_bytes: 5242880 # 5 MiB
    # batch_timeout: 10s

Step 5. Run Sync

cloudquery sync azuredevops.yml bigquery.yml

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