Metadata-Version: 2.1
Name: sagemaker_feature_store_pyspark
Version: 1.1.0
Summary: Amazon SageMaker FeatureStore PySpark Bindings
Author: Amazon Web Services
License: Apache License 2.0
Keywords: ML Amazon AWS AI FeatureStore SageMaker
Description-Content-Type: text/markdown

## Overview

SageMaker FeatureStore Spark is a connector library for [Amazon SageMaker FeatureStore](https://aws.amazon.com/sagemaker/feature-store/).

With this spark connector, you can easily ingest data to FeatureGroup's online and offline store from Spark `DataFrame`. Also, this connector contains the functionality to automatically load feature definitions to help with creating feature groups.

## Getting Started

Note: For more information about installation, code samples etc, please reference the FeatureStore AWS [documentation](https://docs.aws.amazon.com/sagemaker/latest/dg/batch-ingestion-spark-connector-setup.html).
