Advanced Data Engineering, Agentic AI, and Multi-Cloud Enterprise Platforms

Abstract

The rapid growth of digital technologies has transformed data into a strategic resource for modern enterprises. Organizations increasingly operate across multiple cloud environments while managing large volumes of structured and unstructured data, intelligent applications, and continuously evolving business requirements. This transformation has created a need for advanced data engineering practices that are scalable, adaptive, secure, and capable of supporting real time intelligence. Advanced Data Engineering, Agentic AI, and Multi-cloud Enterprise Platforms presents a contemporary perspective on the convergence of advanced data engineering, agentic artificial intelligence, and multi-cloud computing. The book emphasizes intelligent data architectures, autonomous data operations, event driven processing, enterprise analytics, knowledge systems, and AI enabled automation. It also considers the importance of governance, security, observability, and responsible management in increasingly autonomous digital environments. The material is intended to support a clear understanding of emerging technologies and their relevance to enterprise transformation. Concepts are presented in a structured and accessible manner while maintaining technical depth and academic relevance. The book is useful for students, researchers, educators, data professionals, AI practitioners, cloud specialists, and enterprise technology leaders seeking to understand the evolving relationship between data, artificial intelligence, and cloud platforms.