In feature_store_introduction.ipynb we demonstrate how to get started with Feature Store, create feature groups, and ingest data into them.

This notebook requires these data sets in ./data/:

• feature_store_introduction_customer.csv
• feature_store_introduction_orders.csv

This notebook requires these images in ./images/:

• feature-store-policy.png
• feature_store_data_ingest.svg.

In feature_store_kms_encryption.ipynb we demonstrate how to encrypt data in your online or offline store using KMS key and how to verify that your KMS key is being used for data encryption.

This notebook requires these data sets in ./data/:

• feature_store_introduction_customer.csv
• feature_store_introduction_orders.csv

This notebook requires these images in ./images/:

• cloud-trails.png
• s3-sse-enabled.png

For an advanced example on how to use Feature Store for a Fraud Detection use-case, see Fraud Detection with Feature Store, and it's associated notebook, sagemaker_featurestore_fraud_detection_python_sdk.ipynb.

For detailed information about Feature Store, see the Feature Store Developer Guide.