Connect Secoda to BigQuery
Send Secoda tables, terms and collections to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset secoda
tablestermscollections
How to connect Secoda and BigQuery
4 steps. You can preview the Secoda data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Secoda
Enter your Secoda API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Secoda 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 Secoda 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 tables with fresh Secoda data.
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Build your Secoda integrations with these destinations
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3 data types, including Tables, Terms and Collections.
With your Secoda API key, 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 Secoda 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.
