Connect HoorayHR to Redshift
Send HoorayHR users, sick leaves, time offs and 1 more data type to Redshift on a schedule. Refresh as often as every 15 minutes.
Redshift
schema hoorayhr
userssick_leavestime_offsleave_types
How to connect HoorayHR and Redshift
4 steps. You can preview the HoorayHR data in Coupler.io before anything reaches Redshift.
Step 1 of 4
Connect HoorayHR
Enter your HoorayHR username and password. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the HoorayHR data you want in Redshift.
Step 3 of 4
Connect Redshift
Enter your Redshift connection details, then the schema and table for the HoorayHR data.
Show 3 more fields Show fewer fields
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in Redshift. Run it as often as every 15 minutes.
Each run drops and recreates users with fresh HoorayHR data.
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Build your HoorayHR integrations with these destinations
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4 data types, including Users, Sick leaves, Time offs and Leave types.
With your HoorayHR username and password, entered once when you add the connection.
Yes, if the database user has CREATE privileges. Coupler.io creates the hoorayhr schema and the users table on the first run.
With Replace, Coupler.io recreates users, so new HoorayHR columns appear automatically. With Append, the table keeps its schema, so add the column yourself or switch to Replace.
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 Clockify or Harvest, and join or append them before the data reaches Redshift.
