International Journal of Science, Engineering and TechnologyAuthors: Bhargava Kamarapu
Abstract: The increasing adoption of heterogeneous information systems has created significant challenges for organizations in managing enterprise data across diverse databases, applications, platforms, and operational environments. Differences in data structures, formats, storage technologies, integration mechanisms, and information requirements can result in data redundancy, inconsistency, limited interoperability, and difficulties in maintaining reliable enterprise information. This paper proposes a framework for managing enterprise data architecture in heterogeneous information systems, with emphasis on data integration, architectural standardization, metadata management, data consistency, and interoperability. The proposed framework establishes a structured approach for identifying enterprise data sources, classifying data assets, defining common data structures, establishing integration mechanisms, and coordinating data flows across organizational systems. The framework incorporates centralized architectural principles while supporting distributed data environments, enabling organizations to maintain consistency without eliminating the operational flexibility of individual information systems. Metadata is considered an important component for describing data structures, relationships, ownership, and usage across heterogeneous sources. The framework also addresses data quality, security, governance, and architectural alignment to improve the reliability and accessibility of enterprise information. The proposed approach provides organizations with a systematic foundation for designing and managing enterprise data architectures and can support improved data integration, information sharing, and decision-making in complex organizational environments.
