Stardog Enterprise Knowledge Graphs (eBook, ePUB)
The Complete Guide for Developers and Engineers
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"Stardog Enterprise Knowledge Graphs" "Stardog Enterprise Knowledge Graphs" is a definitive guide for architects, engineers, and data professionals seeking to understand and deploy knowledge graphs at scale within the enterprise. Beginning with essential principles of semantic data and knowledge representation, the book provides a comprehensive overview of how knowledge graphs drive value by enabling advanced integration, analytics, and business insights. Readers are introduced to foundational industry standards, robust data modeling techniques, and best practices for architecting flexible, re...
"Stardog Enterprise Knowledge Graphs" "Stardog Enterprise Knowledge Graphs" is a definitive guide for architects, engineers, and data professionals seeking to understand and deploy knowledge graphs at scale within the enterprise. Beginning with essential principles of semantic data and knowledge representation, the book provides a comprehensive overview of how knowledge graphs drive value by enabling advanced integration, analytics, and business insights. Readers are introduced to foundational industry standards, robust data modeling techniques, and best practices for architecting flexible, reusable semantic schemas and ontologies. The book expertly navigates the technical landscape of the Stardog platform, uncovering its core architecture, high-availability strategies, enterprise-grade security, and nuanced identity management. Practical guidance is provided on deploying Stardog in complex environments-whether on-premises, in the cloud, or hybrid-alongside advanced topics in data governance, compliance, and lifecycle management for sensitive and regulated industries. Readers will find in-depth discussions on ontology engineering, schema lifecycle management, SHACL-driven validation, and the art of semantic alignment and inference. Beyond the foundations, "Stardog Enterprise Knowledge Graphs" bridges operational excellence with innovation. Detailed coverage is given to DevOps practices, CI/CD for knowledge graph pipelines, high-performance data integration, federated querying across diverse data sources, and extending Stardog to integrate with modern enterprise stacks, AI/ML workflows, and automation platforms. The final sections illuminate cutting-edge use cases, including semantic data fabrics, data mesh strategies, digital twins, and conversational AI, rounding off with a forward-looking view of emerging standards and the evolving future of enterprise knowledge graphs. This book stands as an invaluable resource for organizations determined to harness the full power of semantic technologies and Stardog in their digital transformation journey.
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