Scaling Predictive Analytics Across Multi-Node Cloud Infrastructures for SAP

This manuscript explores the methodologies and challenges involved in scaling predictive analytics within multi-node cloud infrastructures for SAP systems. Given the increasing need for real-time data insights and operational efficiency, organizations are adopting multi-node cloud architectures to support predictive analytics applications. This study reviews recent advancements, best practices, and technical approaches for scaling predictive workloads across cloud environments, particularly focusing on the SAP ecosystem. Key findings emphasize the role of distributed computing, data partitioning, and load balancing in achieving scalability. The results highlight how cloud-based predictive analytics can enhance business intelligence capabilities and decision-making for enterprises leveraging SAP.