Cayley Database Architecture and Development (eBook, ePUB)
The Complete Guide for Developers and Engineers
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"Cayley Database Architecture and Development" "Cayley Database Architecture and Development" is a comprehensive guide to the design, deployment, and advanced usage of the Cayley graph database. Drawing on the rich theoretical foundations of graph databases and the unique quad-based data model at the heart of Cayley, this book provides in-depth coverage from fundamental principles and architectural components to nuanced data modeling strategies. Readers will learn about Cayley's open-source origins, community-driven development, and its position within the broader landscape of graph and NoSQL ...
"Cayley Database Architecture and Development" "Cayley Database Architecture and Development" is a comprehensive guide to the design, deployment, and advanced usage of the Cayley graph database. Drawing on the rich theoretical foundations of graph databases and the unique quad-based data model at the heart of Cayley, this book provides in-depth coverage from fundamental principles and architectural components to nuanced data modeling strategies. Readers will learn about Cayley's open-source origins, community-driven development, and its position within the broader landscape of graph and NoSQL databases, making this text essential for both newcomers and experienced practitioners seeking a rigorous yet practical resource. The book offers a meticulous exploration of Cayley's robust system design, including storage abstractions, traversal engines, extensibility, and security mechanisms. It delves into the practicalities of data modeling, schema design, and handling rich, heterogeneous datasets at scale, while focusing on query languages, performance tuning, and distributed deployments. Readers are equipped with actionable techniques for indexing, scaling, cloud integration, and comprehensive security and compliance practices, ensuring reliability, resilience, and regulatory alignment in enterprise and high-stakes environments. For developers and architects building modern graph applications, the text provides hands-on guidance in application development, advanced analytics, integration with machine learning platforms, and lifecycle management, from deployment to observability and cost optimization. Case studies, real-world applications, and future roadmap discussions round out the book, presenting a vision for Cayley's evolving role in next-generation data systems. "Cayley Database Architecture and Development" is thus an authoritative reference and a forward-looking manual for harnessing the full potential of graph data management with Cayley.
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