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sagemaker-featurestore/README.md

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# Amazon SageMake Feature Store
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# Amazon SageMaker Feature Store
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## Introduction to Feature Store
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In feature_store_introduction.ipynb we demonstrate how to get started with Feature Store, create feature groups, and ingest data into them.
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In `feature_store_introduction.ipynb` we demonstrate how to get started with Feature Store, create feature groups, and ingest data into them.
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This notebook requires these data sets in `/data/`, `customer.csv`, `orders.csv`, and uses these images, feature-store-policy.png, and feature_store_data_ingest.svg.
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This notebook requires these data sets, `./data/customer.csv`, `./data/orders.csv`, and uses these images, `./images/feature-store-policy.png`, `./images/feature_store_data_ingest.svg`.
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For an advanced example on how to use Feature Store for a Fraud Detection use-case, see [Fraud Detection with Feature Store](https://sagemaker-examples.readthedocs.io/en/latest/sagemaker-featurestore/sagemaker_featurestore_fraud_detection_python_sdk.html), and it's associated notebook, sagemaker_featurestore_fraud_detection_python_sdk.ipynb.
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For detailed information about Feature Store, see the [Developer Guide](https://docs.aws.amazon.com/sagemaker/latest/dg/feature-store.html).
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## Fraud Detection with Feature Store
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For an advanced example on how to use Feature Store for a Fraud Detection use-case, see [Fraud Detection with Feature Store](https://sagemaker-examples.readthedocs.io/en/latest/sagemaker-featurestore/sagemaker_featurestore_fraud_detection_python_sdk.html), and it's associated notebook, `sagemaker_featurestore_fraud_detection_python_sdk.ipynb`.
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## Developer Guide
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For detailed information about Feature Store, see the [Feature Store Developer Guide](https://docs.aws.amazon.com/sagemaker/latest/dg/feature-store.html).

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