Connect BlueTally to BigQuery
Send BlueTally assets and employees to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset bluetally
assetsemployees
How to connect BlueTally and BigQuery
4 steps. You can preview the BlueTally data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect BlueTally
Enter your BlueTally API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the BlueTally data you want in BigQuery.
Step 3 of 4
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the BlueTally data.
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites assets with fresh BlueTally data.
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Build your BlueTally integrations with these destinations
Get the most of BlueTally to BigQuery integration
Gather data
Understand data
Automate data
Act on data
2 data types, including Assets and Employees.
With your BlueTally API key, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with BlueTally data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example 100ms or Amazon Seller Central, and join or append them before the data reaches BigQuery.
