Merge pull request #10 from aws-solutions-library-samples/kruthi-dev

adding athena queries notebook
aws-solutions-library-samples · Dec 17, 2024 · bb7c42e · bb7c42e
2 parents 5fd571e + 4fbd07d
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diff --git a/preprocess-multimodal-data/README.md b/preprocess-multimodal-data/README.md
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 Before running the preprocessing notebooks, you will need to create a SageMaker domain if you haven't already and provide the necessary Lake Formation and Athena permissions.
 
+The preprocessing notebooks directly take data from S3. For queries used to generate the S3 files used in the preprocessing notebooks, refer to the single-patient-records.ipynb notebook.
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 ### Create a SageMaker domain
 
 You can skip this step if you already have a SageMaker domain setup and move on to provide the necessary persmissions.
@@ -18,3 +20,5 @@ You can skip this step if you already have a SageMaker domain setup and move on
 4. Go to **IAM** service page. Click on **Roles**. Search for the execution role created in the previous step. Click on the execution role.
 5. Click on **Add permissions** and **Attach policies**. Select **AmazonAthenaFullAccess** and **Add permissions**.
 6. Go back to the SageMaker domain in your SageMaker console. Under **User profiles**, click on **Launch** and select **Studio**. Wait for the Studio to launch.
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