Connect Picqer to BigQuery
Send Picqer orders, customers, products and 12 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset picqer
orderscustomersproductsusersproducts_stocks- 10 more data types
How to connect Picqer and BigQuery
4 steps. You can preview the Picqer data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Picqer
Enter your Picqer username, password and organization name. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Picqer data you want in BigQuery.
Show 7 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 Picqer 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 orders with fresh Picqer data.
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15 data types, including Orders, Customers, Products, Users and Products stocks.
With your Picqer username, password and organization name, entered once when you add the connection.
Yes. Set the start 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 Picqer 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 Shopify or GoHighLevel, and join or append them before the data reaches BigQuery.
