About this ebook
"MarkLogic Architecture and Implementation"
"MarkLogic Architecture and Implementation" delivers an authoritative and comprehensive exploration of the architectural foundations, advanced features, and real-world deployment strategies behind the MarkLogic data platform. Spanning core system design, distributed scaling, data modeling, search, and security, this volume illuminates the principles that define MarkLogic’s multi-model capabilities and its exceptional flexibility at enterprise scale. Readers are taken deep into internal components such as forest storage, the universal indexing engine, transactional integrity, and sophisticated caching—laying the groundwork for high-performance, resilient data solutions.
The book thoroughly addresses key operational domains, offering hands-on insight into integration with external systems, cloud and hybrid architectures, and modern DevOps practices. Chapters detail robust APIs, extensibility options, and interoperability with relational and NoSQL systems, empowering practitioners to orchestrate versatile data pipelines and services. Advanced topics explore machine learning integration, real-time analytics, semantic and graph search, and patterns for regulated and high-security deployments, showcasing MarkLogic’s adaptability to mission-critical scenarios across industries.
Focusing equally on best practices and innovation, "MarkLogic Architecture and Implementation" equips architects, developers, and technology leaders with proven strategies in performance tuning, monitoring, automation, and disaster recovery. Real-world case studies and cutting-edge discussions on emerging trends make this work a vital reference for successfully designing, evolving, and governing multi-model data platforms in dynamic, high-demand environments.
"MarkLogic Architecture and Implementation" delivers an authoritative and comprehensive exploration of the architectural foundations, advanced features, and real-world deployment strategies behind the MarkLogic data platform. Spanning core system design, distributed scaling, data modeling, search, and security, this volume illuminates the principles that define MarkLogic’s multi-model capabilities and its exceptional flexibility at enterprise scale. Readers are taken deep into internal components such as forest storage, the universal indexing engine, transactional integrity, and sophisticated caching—laying the groundwork for high-performance, resilient data solutions.
The book thoroughly addresses key operational domains, offering hands-on insight into integration with external systems, cloud and hybrid architectures, and modern DevOps practices. Chapters detail robust APIs, extensibility options, and interoperability with relational and NoSQL systems, empowering practitioners to orchestrate versatile data pipelines and services. Advanced topics explore machine learning integration, real-time analytics, semantic and graph search, and patterns for regulated and high-security deployments, showcasing MarkLogic’s adaptability to mission-critical scenarios across industries.
Focusing equally on best practices and innovation, "MarkLogic Architecture and Implementation" equips architects, developers, and technology leaders with proven strategies in performance tuning, monitoring, automation, and disaster recovery. Real-world case studies and cutting-edge discussions on emerging trends make this work a vital reference for successfully designing, evolving, and governing multi-model data platforms in dynamic, high-demand environments.
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