Connect Captain Data to BigQuery
Send Captain Data workspaces, workflows, jobs and 2 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
captain_data
workspacesworkflowsjobssuccessful_jobsjob_results
How to connect Captain Data and BigQuery
4 steps. You can preview the Captain Data data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Captain Data
Enter your Captain Data API key and project UID. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Captain Data 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 Captain Data 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 workspaces with fresh Captain Data data.
Coupler.io made it easy to create dashboards and reports from different data sources. The sync is reliable and the user experience is amazing.
Take your data analytics to the next level
Sign Up with Google
Sign Up with MICROSOFT
SIGN UP WITH EMAIL
By signing up to Coupler.io, you agree to our Privacy Policy and Terms of Use.
Build your Captain Data integrations with these destinations
Get the most of Captain Data to BigQuery integration
Gather data
Understand data
Automate data
Act on data
5 data types, including Workspaces, Workflows, Jobs, Successful jobs and Job results.
With your Captain Data API key and project UID, 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 Captain Data 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.