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.

Reference template for enabling ingestion and persistence of time series data in Azure, with integration to SAP IoT Model Agnostic Services (for a digital supply chain customer) conforming to SAP-defined schema for persistence and streaming data.

Deploy an SAP Fiori Application in any hyperscaler, such as Google Cloud Platform (GCP), Amazon Web Services (AWS), Alibaba Cloud or Azure and use services from SAP Business Technology Platform.

Retail Inventory Prediction and Insight use case with SAP Data Warehouse Cloud and federated machine learning.

Personal page to show my projects and proficiency in data science, governance and Big-Data

A Rust library to detect the cloud service provider of a host.

Resources to support consumption of open source backing services from hyperscalers.

A Go library to detect the cloud service provider of a host.