Connect Uptick to BigQuery
Send Uptick invoices, tasks, projects and 15 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset uptick
invoicestasksprojectstask_categoriesclients- 13 more data types
How to connect Uptick and BigQuery
5 steps. You can preview the Uptick data in Coupler.io before anything reaches BigQuery.
Step 1 of 5
Connect Uptick
Enter your Uptick client ID and client secret. You only do this once per account.
Step 2 of 5
Choose what to export
Pick the Uptick data you want in BigQuery.
Show 10 more data types Show fewer data types
Step 3 of 5
Fine-tune the export
Optional settings for this Uptick export.
Step 4 of 5
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Uptick data.
Step 5 of 5
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 invoices with fresh Uptick data.
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18 data types, including Invoices, Tasks, Projects, Task categories and Clients.
With your Uptick client ID and client secret, entered once when you add the connection.
Yes. Set the start date and end date to cover the period you need.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Uptick 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.
