DATA MESH ARCHITECTURE: REVOLUTIONIZING BUSINESS INTELLIGENCE ECOSYSTEMS
Keywords:
Data Mesh Architecture, Domain-oriented Decentralization, Business Intelligence Transformation, Distributed Data Governance, Cloud-AI IntegrationAbstract
Data mesh architecture represents a paradigm shift in enterprise data management, offering organizations a revolutionary approach to handling complex data landscapes through decentralized ownership and domain-driven design. This article examines how data mesh addresses the limitations of traditional monolithic architectures by introducing principles of domain-oriented decentralization, data-as-a-product thinking, and federated governance. Through analysis of real-world implementations, we explore how organizations achieve significant improvements in data quality, scalability, and innovation capabilities. The architecture's integration with cloud platforms and AI technologies demonstrates its adaptability to emerging technological trends, while its focus on cultural transformation and security frameworks ensures sustainable adoption. Our findings reveal that organizations implementing data mesh experience substantial improvements in cross-team collaboration, data accessibility, and operational efficiency, positioning them to better handle the growing complexities of modern data ecosystems.
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