OrientDB Essentials (eBook, ePUB)
The Complete Guide for Developers and Engineers
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"OrientDB Essentials" "OrientDB Essentials" is a comprehensive guide that navigates the multifaceted architecture and capabilities of OrientDB, a pioneering multi-model database. This expertly structured book unveils the profound technical landscape of OrientDB, beginning with its foundational architecture, multi-model paradigm, and internal mechanics, including robust support for document, object, and graph data. Readers can expect in-depth explanations of data storage, transaction processing, indexing, and distributed systems-crucial elements for mastering scalability, performance, and high ...
"OrientDB Essentials"
"OrientDB Essentials" is a comprehensive guide that navigates the multifaceted architecture and capabilities of OrientDB, a pioneering multi-model database. This expertly structured book unveils the profound technical landscape of OrientDB, beginning with its foundational architecture, multi-model paradigm, and internal mechanics, including robust support for document, object, and graph data. Readers can expect in-depth explanations of data storage, transaction processing, indexing, and distributed systems-crucial elements for mastering scalability, performance, and high availability in modern data-driven environments.
Advancing into sophisticated territory, the book delivers actionable insights on advanced data modeling, query processing, and performance engineering. Seasoned database professionals and newcomers alike will find pragmatic guidance on schema design, relationship modeling, query optimization, and the nuances of managing complex data at scale. Dedicated chapters on security, access control, and compliance address the growing importance of safeguarding sensitive data, while integration and extensibility topics equip teams to leverage OrientDB's API ecosystem, plugin frameworks, and seamless interoperability with popular programming languages and enterprise architectures.
Finally, "OrientDB Essentials" bridges theory with practice by presenting real-world applications and advanced usage patterns. From constructing enterprise knowledge graphs, cyber-analytics, and IoT data management to tackling social network analysis and hybrid deployments, the book distills lessons learned from large-scale, production-grade environments. Rich with case studies and troubleshooting strategies, this essential resource empowers database architects, engineers, and technical leaders to fully exploit OrientDB's potential and deliver resilient, high-performance data solutions.
"OrientDB Essentials" is a comprehensive guide that navigates the multifaceted architecture and capabilities of OrientDB, a pioneering multi-model database. This expertly structured book unveils the profound technical landscape of OrientDB, beginning with its foundational architecture, multi-model paradigm, and internal mechanics, including robust support for document, object, and graph data. Readers can expect in-depth explanations of data storage, transaction processing, indexing, and distributed systems-crucial elements for mastering scalability, performance, and high availability in modern data-driven environments.
Advancing into sophisticated territory, the book delivers actionable insights on advanced data modeling, query processing, and performance engineering. Seasoned database professionals and newcomers alike will find pragmatic guidance on schema design, relationship modeling, query optimization, and the nuances of managing complex data at scale. Dedicated chapters on security, access control, and compliance address the growing importance of safeguarding sensitive data, while integration and extensibility topics equip teams to leverage OrientDB's API ecosystem, plugin frameworks, and seamless interoperability with popular programming languages and enterprise architectures.
Finally, "OrientDB Essentials" bridges theory with practice by presenting real-world applications and advanced usage patterns. From constructing enterprise knowledge graphs, cyber-analytics, and IoT data management to tackling social network analysis and hybrid deployments, the book distills lessons learned from large-scale, production-grade environments. Rich with case studies and troubleshooting strategies, this essential resource empowers database architects, engineers, and technical leaders to fully exploit OrientDB's potential and deliver resilient, high-performance data solutions.
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