Adding a space using Snowflake as a data warehouse and Amazon S3 storage service to run imports for integrations

In this article we are going to explain step by step how to add a new space that uses Snowflake as a warehouse and Amazon S3 to run imports for integrations.


In order to be ready to create a Space we need the following (by the client):

For Amazon S3

Amazon S3 required credentials:

  • Access Key ID
  • Secret access key
  • Bucket name
  • Region

1- Create an account.

Creating an account:

2- After creating an account add the s3:PutBucketCORS , s3:CreateBucket , s3:ListBucket ,s3:GetObject and s3:DeleteObject to the IAM policy

The IAM policy should look something like this:

    "Version": "2012-10-17",
    "Statement": [
            "Sid": "VisualEditor0",
            "Effect": "Allow",
            "Action": [
            "Resource": "arn:aws:s3:::*"
            "Sid": "VisualEditor1",
            "Effect": "Allow",
            "Action": "s3:ListAllMyBuckets",
            "Resource": "*"
            "Sid": "VisualEditor2",
            "Effect": "Allow",
            "Action": [
            "Resource": "arn:aws:s3:::*/*"

Note that this policy gives access to all buckets but since we are creating the bucket ourselves using a UUID as its name. We do not have the bucket name to limit the policies.

3- Get the Access Key & Secret Key

  • Access Key ID
  • Secret access key
  • Bucket name

For Snowflake

Snowflake required credentials:

  • Account
  • Database
  • Password
  • Schema
  • User
  • Warehouse

1- Create a new SCHEMA that will be the target Y42 is writing on (i.e. this will become your DWH -> We suggest a schema name like “Y42_DWH”)

2- Create a new USER / Role that has full read/write access on this new Schema and also the necessary GRANT on the resp. SF-Warehouse (currently “compute_wh” );

3- Provide the credentials for this user


Note: make sure we have the CREATE SCHEMA privilege for the Y42_USER

After we make sure all the requirements are checked, we can proceed with the Snowflake + S3 space creation.

Steps to create SF+ S3 space in Y42

1- Click the Space button.

After clicking the space button you will be redirected to the space selection section.

2- Click the + space button.

In the space selection section click add space so you start configuring the new space.

3- Write the Space name.

After writing the space name click continue.

4- Select Snowflake as a Warehouse.

Y42 supports two data warehouse solutions: Google BigQuery and Snowflake. In addition, Y42 requires access to a storage service to run imports for integrations. Currently supported options are Azure Blob Storage and Amazon S3.

5- Select Amazon S3 to run your integrations import job.

6- Write the S3 Credentials.

You will need to provide:

  • Access Key ID
  • Secret Access Key
  • Amazon Region

To get more information on how to get your Amazon S3 credentials, read this article.

7- Write the Snowflake credentials.

You will need to provide:

  • User → the username you use to login to your Snowflake account
  • Password → the password you you use to login in your Snowflake account
  • Account → here it goes the account name, which you can find in the URL of your Snowflake account. It is usually the part between "Https://" and ""


  • Warehouse → It is the Warehouse name you are using to store the data
  • Database → Here goes the Database you will store the data
  • Schema → Here goes the Schema you will store the data

8- Complete Setup

9- Access the Space

Now you are all set to start importing your integrations, and use all powerful features Y42 offers.