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Connect Eventee to Snowflake

Send Eventee halls, days, lectures and 6 more data types to Snowflake on a schedule. Refresh as often as every 15 minutes.

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Snowflake schema eventee
  • halls
  • days
  • lectures
  • speakers
  • workshops
  • 4 more data types
Each Eventee data type lands in its own table. You pick the schema and table names.
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How to connect Eventee and Snowflake

4 steps. You can preview the Eventee data in Coupler.io before anything reaches Snowflake.

Step 1 of 4

Connect Eventee

Enter your Eventee API token. You only do this once per account.

API token••••••••••••

Step 2 of 4

Choose what to export

Pick the Eventee data you want in Snowflake.

Show 1 more data type Show fewer data types

Step 3 of 4

Connect Snowflake

Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Eventee data.

DatabaseANALYTICSThe target Snowflake database
SchemaeventeeDefaults to public
TablehallsCreated automatically on the first run

Step 4 of 4

Choose a write mode and schedule

Every run either replaces or appends the data in Snowflake. Run it as often as every 15 minutes.

Write mode

Each run deletes the existing rows in halls and loads fresh Eventee data.

Get the most of Eventee to Snowflake integration

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Gather data

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Understand data

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Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

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Eventee to Snowflake questions

9 data types, including Halls, Days, Lectures, Speakers and Workshops.

With your Eventee API token, entered once when you add the connection.

Yes. With the required privileges, Coupler.io creates missing schemas and tables in your database on the first successful run.

Yes. Append adds new rows to halls on each run, while Replace swaps in a fresh copy. With Append, add new Eventee columns to the table yourself before the next run.

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 GoHighLevel or Google Ads, and join or append them before the data reaches Snowflake.

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