> For the complete documentation index, see [llms.txt](https://daton-sarasanalytics.gitbook.io/daton/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://daton-sarasanalytics.gitbook.io/daton/integrations/destinations/amazon-s3.md).

# Amazon S3

## Steps to configure Amazon S3 destination

### Pre-Requisites

1. Access to Amazon Web Services
2. Access to Daton to configure the destination
3. Permissions to manage S3 buckets in AWS

> ### Once the pre-requisites are cleared, follow the steps below to configure S3 as a destination in Daton

### Setups in S3

#### Step1 - Create an S3 Bucket

* Use the search functionality on your AWS console to easily navigate to the S3 Setup console.
* Create a Storage Bucket or Use an existing Storage Bucket depending on your requirements
* Skip to step 3 if you already have a bucket

![Create an S3 bucket where the data will be loaded](/files/-MOawX-djR0YmxCb-xBL)

Enter the bucket name and select the appropriate options to define the bucket parameters according to your organization preference. 

![](/files/-MOawxYBbTwuk4geDbN6)

#### Step2 - Granting Bucket Permissions

One the bucket is created, grant permissions to Daton to create and manage files in this bucket.

![](/files/-MOayRt1EZ_so2UaUiR4)

![](/files/-MOayjh5VoxjPPlTM0WP)

Edit the bucket policy and add the following JSON to the policy after changing the bucket name to reflect the bucket where you want data loaded.

```
{
  "Version": "2012-10-17",
  "Id": "",
  "Statement": [
    {
      "Sid": "",
      "Effect": "Allow",
      "Principal": {
        "AWS": [
          "arn:aws:iam::214669062314:role/Warehouse"
        ]
      },
      "Action": [
        "s3:PutObject",
        "s3:GetObject",
        "s3:ListBucket"
        ],
      "Resource": [
        "arn:aws:s3:::<YOUR_BUCKET_NAME>",
        "arn:aws:s3:::<YOUR_BUCKET_NAME>/*"
      ]
    }
  ]
}
```

![Save the permissions to the bucket](/files/-MOaz8YZFkTeUiexW8gi)

### Setups in Daton

The steps laid out earlier in the document are a pre-requisite before you start configuring S3 as a destination in Daton.&#x20;

Enter an integration name to identify the warehouse in Daton.&#x20;

![](/files/-MX-g7bMdntjpH7N4hvA)

Enter S3 parameters that will determine how the data will be populated in the S3 buckets.

1. Select the region in which you have created the bucket.&#x20;
2. Enter the bucket name that is going to host the files replicated by Daton
3. Enter the Object Key Prefix&#x20;
4. Currently, we support CSVs, Parquet and JSON for S3 buckets. If you need support for any other format, do write to us at <support@sarasanalytics.com>

![](/files/-MX-gKVLCqNga2C7DBR5)

5\. Optionally you can add the additional keys to Object key prefix by selecting optional key elements field.

6\. The time zone used is UTC.

![](/files/CLGLAIgRq6cnAyDIjwww)

7\. They key would have the following format if all the optional elements are selected:\
&#x20;   \[*object\_key\_prefix]/\[integration\_name]/\[tablename]/\[year]/\[month]/\[day]/\[hour]/\[timestamp.filetype]*\
If only a combination of elements are selected then the order of optional elements in the key will be in descending order of the time period.