SAP-samples/datasphere-fedml
The publication is a collection of sample code to show how data from SAP and non-SAP systems can be made available for training in ANY hyperscaler machine learning service via several layers of abstraction from data connection to training using our FedML Python libraries.
This tool helps data scientists and machine learning engineers use data from SAP and other systems to train machine learning models without moving or copying the data. It takes your SAP Datasphere models and other data sources as input and allows you to train, deploy, and inference models on any machine learning platform, outputting trained models and inferenced results. It's designed for professionals building and deploying ML solutions across diverse data landscapes.
Use this if you need to train machine learning models using data from SAP Datasphere and other systems, but want to avoid data replication and prefer working on your chosen ML platform (AWS, GCP, Azure, Databricks, or others).
Not ideal if you don't use SAP Datasphere for data federation or if you only work with data already located within your ML platform.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Nov 07, 2025
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