Essential guides to the foundational concepts, patterns, and strategic approaches that shape modern data architectures.
Deep dive into data fabric architecture, core capabilities, implementation approaches, and real-world use cases for enterprise data integration.
Complete guide to data mesh principles, organizational transformation, and practical implementation strategies for scaling data capabilities.
Essential guide to leveraging metadata as a strategic asset for data discovery, governance, and automated data operations across your organization.
Complete guide to building a semantic layer that provides consistent business definitions and metrics across all your data consumers and applications.
Comprehensive guide to treating data as a product, including design principles, product management practices, and organizational implementation strategies.
Understand how modern data platforms deliver instant, accurate answers to business questions through intelligent data integration and semantic understanding.
Side-by-side analysis of key technologies and approaches to help you make informed architectural decisions.
Comprehensive comparison of these two complementary approaches to modern data architecture, including when to use each and how to combine them effectively.
Detailed comparison of data access techniques versus comprehensive data architectures, including when to choose each approach and how they work together effectively.
Side-by-side analysis of key technology vendors and their approach to make informed buying decisions.
Comparison of the top data fabric vendors in 2025 including Promethium, Microsoft, IBM, Denodo.