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

Azure
azure
Official
Open-core

Azure

The CloudQuery Azure source plugin extracts information from many of the supported services by Microsoft Azure and loads it into any supported CloudQuery destination. Some tables are marked as premium and have a price per 1M rows synced.

Publisher

cloudquery

Repositorygithub.com
Latest version

v11.4.5

Type

Source

Platforms
Date Published

Feb 20, 2024

Price per 1M rows

$100 (premium tables)

free quota

1M rows

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

v3.4.1

Type

Destination

Platforms
Date Published

Feb 20, 2024

Price

Free

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

Logging in is required to use premium plugins and premium tables in open-core plugins.

cloudquery login

Step 3. Configure Azure source plugin

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

kind: source
spec:
  # Source spec section
  name: "azure"
  path: "cloudquery/azure"
  registry: "cloudquery"
  version: "v11.4.5"
  destinations: ["bigquery"]
  tables: ["azure_compute_virtual_machines"]
  spec:
    # Optional parameters
    # subscriptions: []
    # cloud_name: ""
    # concurrency: 50000
    # discovery_concurrency: 400
    # skip_subscriptions: []
    # normalize_ids: false
    # oidc_token: ""
    # retry_options:
    #   max_retries: 3
    #   try_timeout_seconds: 0
    #   retry_delay_seconds: 4
    #   max_retry_delay_seconds: 60

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: "v3.4.1"
  write_mode: "append"
  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 azure.yml bigquery.yml
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