Connect Sigma Computing to BigQuery
Send Sigma Computing members, files, connections and 5 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset sigma_computing
membersfilesconnectionsdatasetsteams- 3 more data types
How to connect Sigma Computing and BigQuery
4 steps. You can preview the Sigma Computing data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Sigma Computing
Enter your Sigma Computing client ID and client secret. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Sigma Computing 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 Sigma Computing 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 members with fresh Sigma Computing data.
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8 data types, including Members, Files, Connections, Datasets and Teams.
With your Sigma Computing 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 Sigma Computing 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 Google Sheets or Airtable, and join or append them before the data reaches BigQuery.
