Deploying and Managing Fuseki Servers by Richard Johnson

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Author: Richard Johnson
Category: Engineering & IT
ISBN: 6610000831982
File Size: 2.45 MB
Format: EPUB (e-book)
DRM: Applied (Requires eSentral Reader App)
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Synopsis

"Deploying and Managing Fuseki Servers"

"Deploying and Managing Fuseki Servers" is a comprehensive and authoritative guide for professionals seeking to master the deployment, configuration, and administration of Apache Jena Fuseki servers. Beginning with the essentials of semantic web architecture, the book provides a structured exploration of RDF principles, SPARQL protocol, and the critical functions of the Fuseki platform within modern data architectures. Readers are introduced to the Jena framework’s core components, positioning Fuseki as a pivotal technology for linked data, enterprise integration, and knowledge graph solutions.

The book offers clear, step-by-step coverage of installation and operational best practices, including platform-specific considerations, automated provisioning, clustering, and secure configuration. Detailed chapters delve into robust dataset management, advanced security controls, resource optimization, and performance scaling, ensuring that practitioners can confidently deliver scalable and resilient SPARQL endpoints. Special attention is paid to configuration management, dataset federation, backup strategies, monitoring, and disaster recovery, providing practical guidance for sustaining long-term, enterprise-grade deployments.

For developers and system architects, the volume presents advanced topics such as custom SPARQL functions, federated queries, integration with enterprise authentication providers, continuous delivery pipelines, and telemetry. Troubleshooting methodologies, operational runbooks, and participation in the open-source Jena community round out this indispensable resource. With in-depth insights and actionable strategies throughout, "Deploying and Managing Fuseki Servers" equips readers to build secure, high-performance, and future-proof semantic data infrastructures.

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