OrientDB Deep Dive (eBook, ePUB)
Definitive Reference for Developers and Engineers
PAYBACK Punkte
0 °P sammeln!
"OrientDB Deep Dive" "OrientDB Deep Dive" is an authoritative and comprehensive exploration of one of the most versatile multi-model databases available today. Beginning with foundational concepts and the architectural philosophy that enable OrientDB to unify graph, document, object, and key-value data models, the book offers clear, practical guidance on everything from system deployment and resource planning to robust upgrade and compatibility strategies. Detailed explanations of storage, indexing, and internal data formats allow readers to confidently design, deploy, and scale OrientDB solut...
"OrientDB Deep Dive"
"OrientDB Deep Dive" is an authoritative and comprehensive exploration of one of the most versatile multi-model databases available today. Beginning with foundational concepts and the architectural philosophy that enable OrientDB to unify graph, document, object, and key-value data models, the book offers clear, practical guidance on everything from system deployment and resource planning to robust upgrade and compatibility strategies. Detailed explanations of storage, indexing, and internal data formats allow readers to confidently design, deploy, and scale OrientDB solutions, making it an essential resource for both new adopters and seasoned professionals.
The book delves into advanced paradigms such as flexible schema design, sophisticated data modeling, and powerful querying mechanisms that leverage OrientDB's unique SQL extensions and distributed graph traversal capabilities. Readers are guided through real-world approaches for cluster topologies, high-availability configurations, disaster recovery, and tuning performance at scale. Dedicated chapters equip engineering teams with best practices for security, access control, compliance, and operational automation, ensuring that OrientDB deployments remain resilient, agile, and secure in production environments.
Crucially, "OrientDB Deep Dive" extends beyond core technology, illuminating modern integration methods, DevOps automation, and extensibility options-from APIs and language drivers to external BI and analytics platforms. The concluding chapters showcase cutting-edge applications in real-time analytics, cloud and edge deployments, and AI-driven knowledge graphs, backed by lessons and insights drawn from production use. Whether you are architecting mission-critical data platforms, designing connected enterprise applications, or pioneering new domains with graph and multi-model data, this book is an indispensable reference and guide.
"OrientDB Deep Dive" is an authoritative and comprehensive exploration of one of the most versatile multi-model databases available today. Beginning with foundational concepts and the architectural philosophy that enable OrientDB to unify graph, document, object, and key-value data models, the book offers clear, practical guidance on everything from system deployment and resource planning to robust upgrade and compatibility strategies. Detailed explanations of storage, indexing, and internal data formats allow readers to confidently design, deploy, and scale OrientDB solutions, making it an essential resource for both new adopters and seasoned professionals.
The book delves into advanced paradigms such as flexible schema design, sophisticated data modeling, and powerful querying mechanisms that leverage OrientDB's unique SQL extensions and distributed graph traversal capabilities. Readers are guided through real-world approaches for cluster topologies, high-availability configurations, disaster recovery, and tuning performance at scale. Dedicated chapters equip engineering teams with best practices for security, access control, compliance, and operational automation, ensuring that OrientDB deployments remain resilient, agile, and secure in production environments.
Crucially, "OrientDB Deep Dive" extends beyond core technology, illuminating modern integration methods, DevOps automation, and extensibility options-from APIs and language drivers to external BI and analytics platforms. The concluding chapters showcase cutting-edge applications in real-time analytics, cloud and edge deployments, and AI-driven knowledge graphs, backed by lessons and insights drawn from production use. Whether you are architecting mission-critical data platforms, designing connected enterprise applications, or pioneering new domains with graph and multi-model data, this book is an indispensable reference and guide.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Andere Kunden interessierten sich für
