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.
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”.