# Snowflake workflow

> Snowflake workflow - Work with Snowflake and DataRobot's Python client to import data, build and
> evaluate models, and deploy a model into production to make new predictions.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:09.574041+00:00` (UTC).

## Primary page

- [Snowflake workflow](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/ai-integrations-platforms/ml-snowflake.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page.
- [AI integrations and platforms](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/ai-integrations-platforms/index.html): Linked from this page.

## Documentation content

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/tree/main/ecosystem_integration_templates/Snowflake_template/Snowflake%20-%20End-to-end%20Ecommerce%20Churn.ipynb)

This AI accelerator walks through how to work with Snowflake (as a data source) and DataRobot's Python client to import data, build and evaluate models, and deploy a model into production to make new predictions. More broadly, the DataRobot API is a critical tool for data scientists to accelerate their machine learning projects with automation while integrating the platform's capabilities into their code-first workflows and coding environments of choice.

By using this accelerator, you will:

- Connect to DataRobot.
- Import data from Snowflake into DataRobot.
- Create a DataRobot project and run Autopilot.
- Select and evaluate the top performing model.
- Deploy the recommended model with MLOps model monitoring.
- Orchestrate scheduled batch predictions that write results back to Snowflake.