Skip to main content

Amazon SageMaker FeatureStore PySpark Bindings

Project description

Overview

SageMaker FeatureStore Spark is a connector library for Amazon SageMaker FeatureStore.

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

File details

Details for the file sagemaker_feature_store_pyspark_3.1-1.1.2.tar.gz.

File metadata

File hashes

Hashes for sagemaker_feature_store_pyspark_3.1-1.1.2.tar.gz
Algorithm Hash digest
SHA256 b0ae32f6db2c15213f0979a834328bb7b518ad8fec9510d3cc85f7cda1e1a09f
MD5 207faee30bea4b00f8db8769eba4407c
BLAKE2b-256 7f62d3d5faf567dec543dacbaec39d3d773f4cada2c63d697765e9020e5090ef

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page