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.

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Set up Connector

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

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Supported Data Sources

Kumo currently supports the following data source types:
  • AWS S3: Reads Parquet (recommended) and CSV files; requires IAM role-based access.
  • Google Cloud BigQuery: Reads tables; requires security credentials.
  • Snowflake: Reads tables and views; requires security credentials.
  • Databricks: Reads tables; requires security credentials.
For local file uploads, select Local Upload to create a connector, then click Connect Table and upload the files.

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Managing Connectors

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