Export from Azure to S3
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 S3. It takes only minutes to get started.
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.
cloudquery
v12.1.1
Source
Mar 26, 2024
S3
This destination plugin lets you sync data from a CloudQuery source to remote S3 storage in various formats such as CSV, JSON and Parquet
cloudquery
v5.1.1
Destination
Mar 26, 2024
Table of Contents
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: "v12.1.1"
destinations: ["s3"]
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 S3 destination plugin
You can find more information about the configuration in the plugin documentation
kind: destination
spec:
name: "s3"
path: "cloudquery/s3"
registry: "cloudquery"
version: "v5.1.1"
write_mode: "append"
spec:
bucket: "bucket_name"
region: "region-name" # Example: us-east-1
path: "path/to/files/{{TABLE}}/{{UUID}}.parquet"
format: "parquet" # options: parquet, json, csv
format_spec:
# CSV-specific parameters:
# delimiter: ","
# skip_header: false
# Optional parameters
# compression: "" # options: gzip
# no_rotate: false
# athena: false # <- set this to true for Athena compatibility
# test_write: true # tests the ability to write to the bucket before processing the data
# endpoint: "" # Endpoint to use for S3 API calls.
# endpoint_skip_tls_verify # Disable TLS verification if using an untrusted certificate
# use_path_style: false
# batch_size: 10000 # 10K entries
# batch_size_bytes: 52428800 # 50 MiB
# batch_timeout: 30s # 30 seconds
Step 5. Run Sync
cloudquery sync azure.yml s3.yml