# Amazon Athena workflow
URL: https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/ai-integrations-platforms/ml-athena.html

> Read in an Amazon Athena table to create a project and deploy a model to make predictions with a test dataset.

# Amazon Athena workflow

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/blob/main/ecosystem_integration_templates/AWS_Athena_template/AWS_Athena_End_to_End.ipynb)

Being one of the largest cloud providers in the world, AWS has multiple ways of storing data within its cloud. Read more to find out how to integrate DataRobot with your data. In this accelerator integration with Athena, you will create a JDBC data source within DataRobot to connect to Athena and then pull data in via an SQL query.

This accelerator notebook covers the following activities:

- Read in an Amazon Athena table and upload it to DataRobot's AI Catalog
- Create a project with the dataset
- Deploy the top-performing model to a DataRobot prediction server
- Make batch predictions with a test dataset

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