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Connect TimeTonic to BigQuery

Send TimeTonic data to BigQuery on a schedule. Refresh as often as every 15 minutes.

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BigQuery dataset timetonic
  • report
Each TimeTonic report lands in its own table. You pick the dataset and table names.
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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.

Connect TimeTonic

Step 2 of 4

Choose what to export

Pick the TimeTonic data you want in BigQuery.

WorkspaceNot setSelect the workspace to export data from.
TableNot setChoose the table you want to export.
ViewNot setSpecify which view you want to export.

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.

JSON key filecoupler-service-account.jsonKey file from a GCP service account
Dataset nametimetonicExactly as it appears in BigQuery
Table namereportExisting table or a new name to create
Autodetect table schemaOnOn by default. Turn off to define the schema as JSON

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.

Write mode

Each run overwrites report with fresh TimeTonic data.

Get the most of TimeTonic to BigQuery integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
TimeTonic to BigQuery questions

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.

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