Connect Mode to BigQuery
Send Mode groups, memberships, spaces and 16 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset mode
groupsmembershipsspacesspace_membershipsgroups_memberships- 14 more data types
How to connect Mode and BigQuery
4 steps. You can preview the Mode data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Mode
Enter your Mode API token, API secret and workspace. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Mode data you want in BigQuery.
Show 11 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 Mode 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 groups with fresh Mode data.
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19 data types, including Groups, Memberships, Spaces, Space memberships and Groups memberships.
With your Mode API token, API secret and workspace, 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 Mode 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.
