Connect Guru to BigQuery
Send Guru members, teams, groups and 9 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset guru
membersteamsgroupsgroup_collection_accessesgroup_members- 7 more data types
How to connect Guru and BigQuery
5 steps. You can preview the Guru data in Coupler.io before anything reaches BigQuery.
Step 1 of 5
Connect Guru
Enter your Guru username and API key. You only do this once per account.
Step 2 of 5
Choose what to export
Pick the Guru data you want in BigQuery.
Show 4 more data types Show fewer data types
Step 3 of 5
Fine-tune the export
Optional settings for this Guru 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 Guru 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 members with fresh Guru data.
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12 data types, including Members, Teams, Groups, Group collection accesses and Group members.
With your Guru username and API key, 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 Guru 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 100ms or Amazon Seller Central, and join or append them before the data reaches BigQuery.
