> ## Documentation Index
> Fetch the complete documentation index at: https://docs.skypoint.ai/llms.txt
> Use this file to discover all available pages before exploring further.

#  

# Amazon S3

Export lets you extract data from the Lakehouse and load it into Amazon S3.

<img src="https://mintcdn.com/skypoint/JzM_sStn9jSyR3nn/doc_snippets/AmazonS3_Export.PNG?fit=max&auto=format&n=JzM_sStn9jSyR3nn&q=85&s=6acb78d5a5772c8aead697bae9a630cc" alt="Alt text" width="4342" height="2099" data-path="doc_snippets/AmazonS3_Export.PNG" />

## Step 01 - Add export

* Click on **Add export** on the left top corner of the screen.
* Enter a Name. (Name starts with a letter and only **Letters** and **Numbers** are allowed. No spaces)
* Display name (which displays the name in the UI of the export saved).
* Select Credentials
  * Select from existing
  * Create new

## Step 02 - Select from existing

**In order to allow skyData access to your *Amazon S3* account, you'll need the following details:**

* **Select Dataflow**
* **Bucket Name**  (Amazon S3 bucket name)
* **Access Key ID** (Check with Amazon S3 source credentials.)
* **Secret Access key**
* **Region Name**
* **Encryption**
* Click **Next** Button

## Step 02 - Create new

**In order to allow skyData access to your *Amazon S3* account, you'll need the following details:**

* **Bucket Name** (Amazon S3 bucket name)
* **Access key ID** (Check with Amazon S3 source credentials.)
* **Secret Access Key**
* **Region Name**
* **Encryption** (Supported encryption values are SSE-S3, SSE-KMS, SSE-C)
* Click **Next** Button.

## Step 03 - Entities to export

Here all the Lakehouse data will be available Entity wise.

* Select the entities from the list to be exported
* Click **Create** Button.
* Click on "Destinations".
* Click on the "Ellipsis" under Actions.
* Click on "Run".