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Connect Waiteraid to Snowflake

Send Waiteraid bookings to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.

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Snowflake schema waiteraid
  • bookings
Each Waiteraid data type lands in its own table. You pick the schema and table names.
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How to connect Waiteraid and Snowflake

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

Step 1 of 4

Connect Waiteraid

Enter your Waiteraid authentication hash and restaurant ID. You only do this once per account.

Authentication hash••••••••••••
Restaurant ID••••••••••••

Step 2 of 4

Choose what to export

Pick the Waiteraid data you want in Snowflake.

Start dateAny dateSpecify the date to start extracting booking data from.

Step 3 of 4

Connect Snowflake

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

DatabaseANALYTICSThe target Snowflake database
SchemawaiteraidDefaults to public
TablebookingsCreated 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 bookings and loads fresh Waiteraid data.

Get the most of Waiteraid 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

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Waiteraid to Snowflake questions

1 data type, including Bookings.

With your Waiteraid authentication hash and restaurant ID, entered once when you add the connection.

Yes. Set the start date to cover the period you need.

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 bookings on each run, while Replace swaps in a fresh copy. With Append, add new Waiteraid 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 100ms or Amazon Seller Central, and join or append them before the data reaches Snowflake.

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