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Export from Azure to Google Cloud Storage

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 Google Cloud Storage. It takes only minutes to get started.

Azure
azure
Official
Premium

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

Publisher

cloudquery

Latest version

v14.0.1

Type

Source

Platforms
Date Published

gcs
Official

Google Cloud Storage

This destination plugin lets you sync data from a CloudQuery source to remote GCS (Google Cloud Storage) storage in various formats such as CSV, JSON and Parquet

Publisher

cloudquery

Repositorygithub.com
Latest version

v5.1.0

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 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: "v14.0.1"
  destinations: ["gcs"]
  tables: ["azure_compute_virtual_machines"]
  # Learn more about the configuration options at https://cql.ink/azure_source
  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 Google Cloud Storage destination plugin

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

kind: destination
spec:
  name: "gcs"
  path: "cloudquery/gcs"
  registry: "cloudquery"
  version: "v5.1.0"
  write_mode: "append"
  spec:
    bucket: "bucket_name"
    path: "path/to/files/{{TABLE}}/{{UUID}}.{{FORMAT}}"
    format: "parquet" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # no_rotate: false
    # batch_size: 10000
    # batch_size_bytes: 52428800 # 50 MiB
    # batch_timeout: 30s

Step 5. Run Sync

cloudquery sync azure.yml gcs.yml
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