Dgraph Essentials (eBook, ePUB)
The Complete Guide for Developers and Engineers
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"Dgraph Essentials" "Dgraph Essentials" serves as a comprehensive guide for database architects, system engineers, and developers eager to master modern graph database concepts using the cutting-edge Dgraph platform. The book opens with a deep exploration of graph database fundamentals, expertly situating Dgraph's unique distributed architecture in the landscape of evolving data systems. Readers gain a solid foundation in graph theory, the Resource Description Framework (RDF), and the powerful patterns underlying Dgraph's internal communication and schema design. Through clear comparisons and ...
"Dgraph Essentials" "Dgraph Essentials" serves as a comprehensive guide for database architects, system engineers, and developers eager to master modern graph database concepts using the cutting-edge Dgraph platform. The book opens with a deep exploration of graph database fundamentals, expertly situating Dgraph's unique distributed architecture in the landscape of evolving data systems. Readers gain a solid foundation in graph theory, the Resource Description Framework (RDF), and the powerful patterns underlying Dgraph's internal communication and schema design. Through clear comparisons and architectural diagrams, the text demystifies the components that make Dgraph a standout solution for high-performance and highly connected data workloads. With an emphasis on practical deployment and operational excellence, "Dgraph Essentials" delivers detailed, scenario-driven coverage of cluster configuration, node management, resource planning, and troubleshooting. Chapters on schema modeling, indexing, complex queries (using DQL and GraphQL), data ingestion pipelines, and security models equip readers to design robust, scalable, and secure applications. The book thoughtfully addresses backup, disaster recovery, observability, and monitoring, ensuring that mission-critical systems built on Dgraph can achieve resilience and compliance at scale. Rounding out its offering, the book explores the broader Dgraph ecosystem-from third-party tools and DevOps integration to Kubernetes orchestration and multi-cloud deployments. It provides actionable guidance for leveraging emerging technologies, optimizing cluster performance, and integrating Dgraph with enterprise analytics and ETL workflows. "Dgraph Essentials" stands as an authoritative, future-facing reference for anyone committed to harnessing graph technology for advanced data-driven solutions.
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