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title = "Connect to S3"
weight = 301
chapter = true
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Connect to S3 Data Source
Click “Add Data Lake” from the “Data Connection” pane on the bottom left of the Dremio home screen
Select the “Amazon S3” option and input the following information in the “General” tab:
Name: DevDay
Authentication Method: Select “Data Source Credentials”
Create IAM Role or Access Key: Select “Access Key”
Access Key ID: Input your AWS Access Key
Secret Access Key: Input your AWS Secret Access Key
**Note**
When you created your lab environment, AWS created a new user called “dremio-user”. To get your Access Key ID & Access Secret Key, navigate to your AWS console and search “Cloud Shell” service.
Once the “Cloud Shell” terminal is prepared (~2 minutes), enter the following command:
“aws iam create-access-key --user-name dremio-user” and press enter.
AWS will generate a new Access Key ID & Access Secret Key for you to use.
Copy the Access ID and Secret key as part of the json output on Cloud Shell to enter in the Dremio screen below.
Click Save
Dremio is now connected to an AWS S3 bucket that contains NYC Taxi and Weather Data.
To verify that Dremio is properly connected to AWS S3, under Data Lakes in the bottom left corner, click on the DevDay data connection. You will see a list of buckets that you have access to. Click on the dremio-data-lake-[AccountID] bucket. You should see two folders: one titled “nyc weather” and one titled “trips”.