Connect Ashby to BigQuery
Send Ashby users, applications, archive reasons and 11 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset ashby
usersapplicationsarchive_reasonscandidate_tagscandidates- 9 more data types
How to connect Ashby and BigQuery
4 steps. You can preview the Ashby data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Ashby
Enter your Ashby API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Ashby data you want in BigQuery.
Show 6 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 Ashby 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 users with fresh Ashby data.
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14 data types, including Users, Applications, Archive reasons, Candidate tags and Candidates.
With your Ashby 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 Ashby 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.
