Skip to main content

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.

Download files

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

Source Distribution

sagemaker_feature_store_pyspark_3_1-1.1.3.tar.gz (49.9 MB view details)

Uploaded Source

File details

Details for the file sagemaker_feature_store_pyspark_3_1-1.1.3.tar.gz.

File metadata

File hashes

Hashes for sagemaker_feature_store_pyspark_3_1-1.1.3.tar.gz
Algorithm Hash digest
SHA256 161b586dd7994456fd6a5767a09d1f62f9970970838fe502a72000ef3a56535f
MD5 b9b20f52f385734dc53830327af647f8
BLAKE2b-256 702613297309a08386dece3e41625ca2f4389dd3e227298370911ac6d1828ba3

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.1.3 This release

1 file

1.1.2

1 file

1.1.1

1 file

1.1.0

1 file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page