semvec/pypi-packages huggingface dataset:
sagemaker-feature-store-pyspark 1.1.3
Amazon SageMaker FeatureStore PySpark Bindings
License: Apache License 2.0
Keywords: ML Amazon AWS AI FeatureStore SageMaker

## 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).
sagemaker-feature-store-pyspark-3.3 1.1.3
Amazon SageMaker FeatureStore PySpark Bindings
License: Apache License 2.0
Keywords: ML Amazon AWS AI FeatureStore SageMaker

## 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).
sagemaker-feature-store-pyspark-3.2 1.1.3
Amazon SageMaker FeatureStore PySpark Bindings
License: Apache License 2.0
Keywords: ML Amazon AWS AI FeatureStore SageMaker

## 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).
sagemaker-feature-store-pyspark-3.1 1.1.3
Amazon SageMaker FeatureStore PySpark Bindings
License: Apache License 2.0
Keywords: ML Amazon AWS AI FeatureStore SageMaker

## 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).
sagemaker-feature-store-pyspark-3.0 1.1.3
Amazon SageMaker FeatureStore PySpark Bindings
License: Apache License 2.0
Keywords: ML Amazon AWS AI FeatureStore SageMaker

## 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).