# End-to-end workflow with SAP Hana

> End-to-end workflow with SAP Hana - Learn how to programmatically build a model with DataRobot using
> SAP Hana as the data source.

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 `2026-05-06T18:17:09.573906+00:00` (UTC).

## Primary page

- [End-to-end workflow with SAP Hana](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/ai-integrations-platforms/ml-sap.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/blob/main/ecosystem_integration_templates/SAP_template/SAP_End_to_End.ipynb)

The scope of this accelerator provides instructions on how to use DataRobot's Python client to build a workflow that will use an existing SAP Hana JDBC driver and:

- Create credentials
- Create the training data source
- Create the predictions data source
- Create a dataset used to train the models
- Create a dataset used to make predictions
- Create a project
- Create a deployment
- Make batch and real-time predictions
- Show the total predictions made so far

There is also a playbook at the end of this notebook that describes how to create the back end SAP Hana database that will provide the data required.