Connect Box to BigQuery
Send Box users, events, sign templates and 12 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset box
userseventssign_templatescollectionscollection_items- 10 more data types
How to connect Box and BigQuery
4 steps. You can preview the Box data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Box
Enter your Box client ID and client secret. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Box data you want in BigQuery.
Show 7 more data types Show fewer data types
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 Box 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 users with fresh Box data.
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15 data types, including Users, Events, Sign templates, Collections and Collection items.
With your Box client ID and client secret, entered once when you add the connection.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Box 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 Google Sheets or Airtable, and join or append them before the data reaches BigQuery.
