Connect TimeTonic to BigQuery
Send TimeTonic data to BigQuery on a schedule. Refresh as often as every 15 minutes.
timetonic
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How to connect TimeTonic and BigQuery
4 steps. You can preview the TimeTonic data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect TimeTonic
Add the TimeTonic account you want to export from.
Step 2 of 4
Choose what to export
Pick the TimeTonic 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 TimeTonic 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 report with fresh TimeTonic data.
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Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with TimeTonic 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 Clockify or Harvest, and join or append them before the data reaches BigQuery.