Connect Primetric to BigQuery
Send Primetric projects, assignments, employees and 18 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset primetric
projectsassignmentsemployeeshashtagsorganization_clients- 16 more data types
How to connect Primetric and BigQuery
4 steps. You can preview the Primetric data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Primetric
Enter your Primetric client ID and client secret. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Primetric data you want in BigQuery.
Show 13 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 Primetric 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 projects with fresh Primetric data.
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21 data types, including Projects, Assignments, Employees, Hashtags and Organization clients.
With your Primetric 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 Primetric 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 ClickUp or Airtable, and join or append them before the data reaches BigQuery.
