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.
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Metadata
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Release files for sagemaker-feature-store-pyspark-3.1 1.1.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| sagemaker_feature_store_pyspark_3_1-1.1.3.tar.gz | 49.9 MB | Without provenance | Details |
Release files / sagemaker_feature_store_pyspark_3_1-1.1.3.tar.gz
| Download URL | sagemaker_feature_store_pyspark_3_1-1.1.3.tar.gz |
|---|---|
| Size | 49.9 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
161b586dd7994456fd6a5767a09d1f62f9970970838fe502a72000ef3a56535f
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702613297309a08386dece3e41625ca2f4389dd3e227298370911ac6d1828ba3
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/6.1.0 CPython/3.9.20
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Security for sagemaker-feature-store-pyspark-3.1 1.1.3
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