ENTERPRISE DATA ARCHITECTURES: A COMPREHENSIVE ANALYSIS OF MODERN SOLUTIONS, MARKET TRENDS, AND IMPLEMENTATION FRAMEWORKS
Keywords:
Enterprise Data Architecture, Data Governance, Digital Transformation, Data Management Solutions, Technology InfrastructureAbstract
This comprehensive article explores the evolving landscape of enterprise data solutions, examining various architectures from traditional databases to modern data lakehouses. The article analyzes core data solutions including traditional databases, data warehouses, and data lakes, followed by an examination of modern architectures such as data lakehouses, data mesh, and data vault methodologies. The article presents a detailed framework for selecting and implementing appropriate data solutions, considering both technical considerations and business factors. The article encompasses market trends, implementation strategies, and governance requirements, providing organizations with a structured approach to evaluating and choosing data management solutions that align with their specific needs and objectives.
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