Framework for Logical Data Integration: Beyond Physical Warehousing

Abstract

Enterprise data's increasing complexity and volume necessitate shifting from traditional physical data warehousing to more agile and scalable models. Logical data integration offers a transformative approach, enabling real-time, user-centric access to heterogeneous data sources without the constraints of centralized storage. This paper presents a comprehensive framework for logical data integration, detailing its core components, implementation architecture, and evaluation. Leveraging advanced technologies such as cloud computing, data virtualization, and intelligent querying mechanisms, the framework demonstrates significant improvements in scalability, cost-efficiency, and operational flexibility. The research highlights current challenges through detailed literature reviews and case studies, proposes solutions, and outlines future directions for logical integration systems. This paper concludes by emphasizing the paradigm shift's benefits and calling for continued exploration of advanced technologies to enhance data integration.