Connect Keka to BigQuery
Send Keka projects, employees, attendances and 4 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset keka
projectsemployeesattendancesclientsproject_timesheets- 2 more data types
How to connect Keka and BigQuery
4 steps. You can preview the Keka data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Keka
Enter your Keka client ID, client secret and API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Keka 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 Keka 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 projects with fresh Keka 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 Keka integrations with these destinations
Get the most of Keka to BigQuery integration
Gather data
Understand data
Automate data
Act on data
7 data types, including Projects, Employees, Attendances, Clients and Project timesheets.
With your Keka client ID, client secret and API key, 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 Keka 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 QuickBooks or Xero, and join or append them before the data reaches BigQuery.
