Data Warehouses
BigQuery
Connect with BigQuery and define your metrics and dimensions in Push.ai.
Prerequisites
To connect BigQuery to Push.ai, you need the following:
- The ability to create service accounts in Google Cloud console.
Setup Guide
Step 1 - Create a service account in the Google Cloud console
If you’re not already familiar with Google Cloud IAM you can follow this link to create service account.
Step 2 - Grant permissions
Select and grant the BigQuery Data Viewer
and BigQuery User
roles
Step 3 - Create a key and download the file
Download the JSON key file and save it to your computer.
Step 4 - Whitelist IP Addresses (if necessary)
Push.ai connects to your warehouse from the following IP addresses. Be sure to allow traffic from these IPs in your firewall, and include them in any database grants.
Region/Deployment | IP Addresses |
---|---|
All | 44.226.145.213 , 54.187.200.255 , 34.213.214.55 , 35.164.95.156 , 44.230.95.183 , 44.229.200.200 |
Step 5 - Configure the connection in Push.ai
- Copy the
project_id
from URL - Upload the JSON key file
- Test and create the datasource connection.
Enhanced Security Controls
To implement dataset level permissioning, please see GCP’s most up-to-date documentation.