Architecting Cloud-Native Business Intelligence Systems: Performance, Security and Data Integration Challenges in Oracle BI Cloud Service

As enterprises transition toward cloud-native infrastructures, Business Intelligence (BI) systems must be re-architected to leverage the scalability, flexibility, and agility of cloud platforms. This paper investigates the architectural considerations and challenges of deploying Oracle BI Cloud Service (BICS) in a cloud-native paradigm. It critically examines performance optimization strategies, security frameworks, and data integration mechanisms crucial for building resilient BI ecosystems. The study adopts a mixed-methods approach, combining architectural analysis, performance benchmarking, and security evaluation to explore the multifaceted aspects of BI cloud migration. Findings reveal that while Oracle BICS provides robust native tools for scalability and integration, significant challenges persist in data latency, compliance, and hybrid-cloud compatibility. The paper proposes an optimized architecture model and best practice guidelines to aid enterprise architects and data engineers in future-proofing their BI strategies in the evolving cloud landscape.