ArangoDB Technical Reference Guide (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"ArangoDB Technical Reference Guide" The "ArangoDB Technical Reference Guide" is the definitive resource for database architects, backend engineers, and DevOps professionals seeking an in-depth understanding of ArangoDB's powerful multi-model database platform. Through a meticulously organized structure, this guide explores the core principles of ArangoDB's architecture, from its innovative storage engine and cluster design to the fine details of its transaction processing and resource management. Readers are immersed in the full breadth of ArangoDB's capabilities, including comprehensive cove...
"ArangoDB Technical Reference Guide"
The "ArangoDB Technical Reference Guide" is the definitive resource for database architects, backend engineers, and DevOps professionals seeking an in-depth understanding of ArangoDB's powerful multi-model database platform. Through a meticulously organized structure, this guide explores the core principles of ArangoDB's architecture, from its innovative storage engine and cluster design to the fine details of its transaction processing and resource management. Readers are immersed in the full breadth of ArangoDB's capabilities, including comprehensive coverage of document, key/value, and graph data models, as well as the protocols and mechanisms that ensure high availability, resilience, and performance across distributed systems.
Moving beyond foundational concepts, the guide offers practical strategies for data modeling, robust query engineering with AQL, and advanced techniques in performance optimization. Detailed chapters cover index tuning, sharding, replication, and scaling practices, equipping readers to design and maintain high-throughput, low-latency applications on ArangoDB. Extensive sections on API integrations, Foxx microservices, and DevOps automation illustrate how to embed ArangoDB in a diverse range of technology stacks, while security architecture chapters ensure best practices in compliance, auditing, encryption, and incident response.
Finally, the "ArangoDB Technical Reference Guide" addresses cutting-edge topics such as real-time data ingestion, full-text search via ArangoSearch, graph analytics, OLAP integration, and serverless or edge-cloud deployment models. Whether your goal is to master ArangoDB for mission-critical production workloads or to innovate at the frontier of multi-model database technology, this comprehensive reference delivers the technical depth, practical insights, and forward-looking perspective required for success.
The "ArangoDB Technical Reference Guide" is the definitive resource for database architects, backend engineers, and DevOps professionals seeking an in-depth understanding of ArangoDB's powerful multi-model database platform. Through a meticulously organized structure, this guide explores the core principles of ArangoDB's architecture, from its innovative storage engine and cluster design to the fine details of its transaction processing and resource management. Readers are immersed in the full breadth of ArangoDB's capabilities, including comprehensive coverage of document, key/value, and graph data models, as well as the protocols and mechanisms that ensure high availability, resilience, and performance across distributed systems.
Moving beyond foundational concepts, the guide offers practical strategies for data modeling, robust query engineering with AQL, and advanced techniques in performance optimization. Detailed chapters cover index tuning, sharding, replication, and scaling practices, equipping readers to design and maintain high-throughput, low-latency applications on ArangoDB. Extensive sections on API integrations, Foxx microservices, and DevOps automation illustrate how to embed ArangoDB in a diverse range of technology stacks, while security architecture chapters ensure best practices in compliance, auditing, encryption, and incident response.
Finally, the "ArangoDB Technical Reference Guide" addresses cutting-edge topics such as real-time data ingestion, full-text search via ArangoSearch, graph analytics, OLAP integration, and serverless or edge-cloud deployment models. Whether your goal is to master ArangoDB for mission-critical production workloads or to innovate at the frontier of multi-model database technology, this comprehensive reference delivers the technical depth, practical insights, and forward-looking perspective required for success.
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