FTP to Google BigQuery integration

Connect FTP to Google BigQuery and automatically sync your file storage data.

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FTP

Data source

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CONNECTOR SOURCE

FTP to Google BigQuery

Connect FTP to Google BigQuery and automatically sync your file storage data. Weld extracts Files, Folders, and Documents from FTP, loads them into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.

Everything you need to get started

FTP

Setup guide Connector page

Google BigQuery

Setup guide Connector page

Weld Connect API

Set up programmatically

Use the Weld Connect REST API to create FTP connections, configure ELT syncs, and manage pipelines entirely through code. Built for embedding, automation, and CI/CD workflows.

Explore Weld Connect API reference

POST/elt_syncs

# Create a FTP ELT sync
curl -X POST https://connect.weld.app/elt_syncs \
  -H "x-api-key: $API_KEY" \
  -d '{
    "connection_id": "conn_abc123",
    "integration_id": "ftp",
    "destination_schema_name": "ftp_data",
    "sync_interval": "0 * * * *"
  }'
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FAQs

How do I sync FTP data to Google BigQuery?

Sign up for Weld, connect FTP as a source and Google BigQuery as a destination. Weld handles the extraction, loading, and lets you transform data using SQL or dbt.

What FTP data can I sync to Google BigQuery?

You can sync Files, Folders, and Documents. The available objects depend on your FTP account permissions and configuration.

How often does Weld sync data from FTP?

Sync frequency depends on your Weld plan. Schedules range from every 5 minutes to daily intervals. Each sync processes only new and changed data.

Can I transform FTP data before it lands in Google BigQuery?

Yes. Weld supports SQL-based transformations in the platform and integrates with dbt Cloud. You can clean, join, and model your data before analysis.

Is the FTP to Google BigQuery integration secure?

Yes. Weld encrypts all data in transit and at rest, is SOC 2 Type II certified, and supports IP whitelisting. Credentials are stored encrypted and never logged.