Phiona Documentation
  • 👋Introduction
  • 🛣️The Basics
    • How Phiona Works
    • Scheduling & Automation
    • API Documentation
  • 🔗Data Sources
    • Airtable
    • Amazon S3
    • BigCommerce
    • BigQuery
    • Dropbox
    • Firebase
    • Google Analytics v4
    • Google Drive
    • Google Search Console
    • Google Sheets
    • Hubspot
    • Import from API (Beta)
    • Local Files
    • MongoDB
    • MySQL
    • PostgreSQL
    • Redshift (Beta)
    • Shopify
    • Snowflake (Beta)
    • WooCommerce
    • Wordpress
  • 📈Sharing Data
    • Share Project with Collaborators
    • Share Public Project Link
    • Share Serverless SQL Warehouse
    • Build API Endpoint From Single Dataset
    • Share Dataset via Email
  • 🛠️Clean & Transform
    • Supported Data Types & Column Header Functions
    • Supported Clean Functions
    • Supported Transformations
    • Applying Existing or Shared Blueprints
  • 🌆Export Destinations
    • Airtable
    • Amazon S3
    • Dropbox
    • Google Drive
    • Google Sheets
    • MongoDB
    • MySQL
    • PostgreSQL
    • Redshift (Beta)
    • Snowflake (Beta)
  • Changelog
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  1. Data Sources

BigQuery

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Last updated 2 years ago

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This page describes how to set up your BigQuery connection. Click on the BigQuery data source, and then "Create a New Connection".

Once you enter a name for your connection, you'll need to provide the specific Project ID and Dataset ID for the table you'd like to access in Phiona. Please see your BigQuery instance for that information.

When that information is entered, click "Authorize and Save Connection". A Google Authentication screen will pop up and once you've entered your correct login details, the table will be connected.

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