Sagemaker-to-Snowflake

SageMaker ➜ Snowflake Migration Examples

This repository provides simple examples to help you migrate machine learning workloads from AWS SageMaker to Snowflake ML.

Included Examples

• XGBoost Classifier
• PyTorch Classifier
• Image Classification

Why Migrate?

• Eliminate data movement between platforms
• Use Snowflake’s built‑in governance and security
• Deploy models directly as SQL functions

Quick Start

1. Clone the repo:

git clone https://github.com/Snowflake-Labs/sf-samples.git
cd sf-samples/samples/ml-sagemaker-to-snowflake

2. Install requirements:

pip install -r requirements.txt

3. Run an example (e.g., XGBoost):

cd xgboost_classifier
python train.py

Repo Structure

ml-sagemaker-to-snowflake/
├─ xgboost_classifier/
├─ pytorch_classifier/
├─ image_classification/
└─ README.md

License

Apache 2.0