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

# Data Connectors

To train models, you first need to connect a data source. This enables Kumo to train and retrain models effortlessly, making predictions as simple as refreshing your data.

## Set up Connector

1. Go to **Connectors** from the side menu and click **Add Connector** to create a new connection.
2. Select your data source and provide the required configuration details.

<img src="https://mintcdn.com/kumoai/cdICHI76UN3kpKeN/img/connection-options.png?fit=max&auto=format&n=cdICHI76UN3kpKeN&q=85&s=59a55ffb65a647985c01d30eff4f3c39" alt="" width="3456" height="1984" data-path="img/connection-options.png" />

### Supported Data Sources

Kumo currently supports the following data source types:

* [AWS S3](/aws-s3): Reads Parquet (recommended) and CSV files; requires IAM role-based access.
* [Google Cloud BigQuery](/google-cloud-bigquery): Reads tables; requires security credentials.
* [Snowflake](/snowflake-connector): Reads tables and views; requires security credentials.
* [Databricks](/databricks-connector): Reads tables; requires security credentials.

- [AWS Glue Catalog:](/aws-glue) Reads Parquet files on S3 via a Glue Catalog; requires IAM role-based access.

For local file uploads, select [Local Upload](/local-data-upload) to create a connector, then click **Connect Table** and upload the files.

## Managing Connectors

To edit or delete connectors, select the Connector → click the **︙options button** and choose **Edit** or **Delete**.