Connect Workramp to BigQuery
Send Workramp users, awarded certifications, certifications and 3 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset workramp
usersawarded_certificationscertificationspaths_usersregistrations- 1 more data type
How to connect Workramp and BigQuery
4 steps. You can preview the Workramp data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Workramp
Enter your Workramp API token and academy ID. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Workramp 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 Workramp 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 Workramp data.
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6 data types, including Users, Awarded certifications, Certifications, Paths users and Registrations.
With your Workramp API token and academy ID, 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 Workramp 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.
