# Adding data sources in lakehouse architecture
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lakehouse architecture supports several data sources. If you are new to data connections in lakehouse architecture, see [Data connections in the lakehouse architecture of Amazon SageMaker](lakehouse-data-connection.md).

**Topics**
+ [Creating connections in lakehouse architecture](lakehouse-create-connection.md)
+ [Uploading data](lakehouse-upload-data.md)
+ [Creating a catalog](lakehouse-create-catalog.md)
+ [Adding existing databases and catalogs using AWS Lake Formation permissions](lakehouse-add-catalog.md)
+ [Creating an AWS Glue database via Amazon SageMaker Unified Studio](lakehouse-add-new-database.md)
+ [Deleting an AWS Glue database via Amazon SageMaker Unified Studio](lakehouse-delete-new-database.md)
+ [Amazon S3 tables integration](lakehouse-s3-tables-integration.md)

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon SageMaker lakehouse architecture. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query sagemaker-lakehouse-architecture` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).