Connect Amazon Seller Central (MWS) to Snowflake: Build an Integration

It is very simple to connect Amazon Seller Central (MWS) to Snowflake, it can be done in a fast and easy manner with Windsor.ai.

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Windsor.ai is your proven Amazon Seller Central (Amazon SP) to Snowflake connector

Using Windsor.ai connector to import data from Amazon Seller Central (MWS) into Snowflake

Supported fields: 208 metrics299 dimensions

Stream marketing data from Amazon Seller Central (MWS) to Snowflake.

It is very simple to connect Amazon Seller Central (MWS) to Snowflake, it can be done in a fast and easy manner with Windsor.ai.

With Windsor.ai, you can:

Stream Amazon Seller Central (MWS) marketing data straight into Snowflake
Access 350+ marketing data streams and keep all the data you integrate fresh and accessible whenever you want
Spend less time on manual data loading and spreadsheets, and focus on delighting your customers
See the value and return on every marketing touchpoint
Get notified if a sync runs into an error

Join over 19,000+ businesses that trust Windsor.ai to streamline Amazon Seller Central to Snowflake integration

How to connect Amazon Seller Central (MWS) to Snowflake with Windsor.ai

Follow the steps below to connect Amazon Seller Central (MWS) to Snowflake with Windsor.ai. Register or log in if you already have an account, then prepare your Snowflake credentials and start the sync.

1. Prepare Snowflake

Follow the tutorial below:

Add all the columns that are returned by your connector’s URL.
Create the WINDSOR_UPLOAD role (name has no importance)
Create a user and add the previously created role to that user
Grant rights to the DATABASE to the created user
Grant the rights to the destination table
Get the required fields from Snowflake to use the Snowflake destination in the Onboard Form

The required fields are:

Get the username
Get the password
Get the account
Get the warehouse
Get the database
Get the schema
Get the table name

2. Select your source

You need to select Amazon Seller Central (MWS) as a Data Source and Grant Access to Windsor.ai.

3. Select Destination

In Select Destination, select Snowflake as destination.

4. Enter your credentials

Enter all the credentials required and click Save.

5. Sync your data

Your data will now be streamed to Snowflake. In case there is an error you will be notified.

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