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

sagemaker_feature_store_pyspark_3.2-1.1.0.tar.gz (54.9 MB view details)

Uploaded Source

File details

Details for the file sagemaker_feature_store_pyspark_3.2-1.1.0.tar.gz.

File metadata

  • Download URL: sagemaker_feature_store_pyspark_3.2-1.1.0.tar.gz
  • Upload date:
  • Size: 54.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for sagemaker_feature_store_pyspark_3.2-1.1.0.tar.gz
Algorithm Hash digest
SHA256 5e3e0d611bdadff8a2c420576555b6125e758cda8adb8228b4df0d090e98f549
MD5 d80566717541ce1516dc73f6793a84c7
BLAKE2b-256 1e830e03c7487c40907a74d9e9c90e27b65515a6b06c86adb9458621a5ce2383

See more details on using hashes here.

Supported by

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