Graph Database Engineering Neo4j by Yang Dylan (5 results)

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. In an increasingly connected world, understanding relationships within data has become essential for building intelligent applications and solving complex problems. From recommendation systems and fraud detection to knowledge graphs and operational analytics, modern software relies on efficiently modeling and querying connected data. Graph databases are purpose-built for this challenge, and Neo4j stands as the leading platform for managing relationships at scale.This book provides a practical and structured guide to working with Neo4j, combining foundational graph concepts with real-world engineering techniques. It equips readers with the knowledge needed to design, query, and analyze graph data effectively, while avoiding common pitfalls encountered in production systems.What You'll LearnThis book offers a clear roadmap for mastering Neo4j, blending theory with hands-on application: Understanding Graph DatabasesLearn why graph databases excel at modeling connected data, how they differ from traditional databases, and when Neo4j is the right choice.Cypher Query LanguageMaster Cypher to query, traverse, and manipulate graph data efficiently, with a focus on clarity, performance, and scalability.Data Modeling and OptimizationDiscover best practices for designing flexible and efficient graph models, including indexing, constraints, and performance considerations.Graph Analytics and AlgorithmsExplore Neo4j's graph analytics capabilities to uncover patterns, analyze networks, and extract meaningful insights from connected data.Building Intelligent ApplicationsLearn how Neo4j integrates into modern application architectures and supports graph-powered features through APIs and programming languages.Real-World Use CasesSee how graph databases are applied to practical scenarios such as fraud detection, recommendation systems, knowledge graphs, and supply chain analysis.Maintenance and TroubleshootingUnderstand how to monitor performance, troubleshoot queries, and maintain reliable graph database systems.Why Choose This Book?This guide is designed for professionals who want a practical understanding of Neo4j without unnecessary complexity. It explains not only how to use graph databases, but why graph-based approaches are effective for connected data problems. With a focus on real-world application, the book enables readers to apply concepts immediately and confidently.Who Is This Book For?This book is suitable for anyone working with connected data, including: Developers building graph-powered applicationsData professionals analyzing networks and relationshipsArchitects and technical leaders designing scalable data systemsBusiness and technology professionals seeking insight into graph-driven solutions This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. In an increasingly connected world, understanding relationships within data has become essential for building intelligent applications and solving complex problems. From recommendation systems and fraud detection to knowledge graphs and operational analytics, modern software relies on efficiently modeling and querying connected data. Graph databases are purpose-built for this challenge, and Neo4j stands as the leading platform for managing relationships at scale.This book provides a practical and structured guide to working with Neo4j, combining foundational graph concepts with real-world engineering techniques. It equips readers with the knowledge needed to design, query, and analyze graph data effectively, while avoiding common pitfalls encountered in production systems.What You'll LearnThis book offers a clear roadmap for mastering Neo4j, blending theory with hands-on application: Understanding Graph DatabasesLearn why graph databases excel at modeling connected data, how they differ from traditional databases, and when Neo4j is the right choice.Cypher Query LanguageMaster Cypher to query, traverse, and manipulate graph data efficiently, with a focus on clarity, performance, and scalability.Data Modeling and OptimizationDiscover best practices for designing flexible and efficient graph models, including indexing, constraints, and performance considerations.Graph Analytics and AlgorithmsExplore Neo4j's graph analytics capabilities to uncover patterns, analyze networks, and extract meaningful insights from connected data.Building Intelligent ApplicationsLearn how Neo4j integrates into modern application architectures and supports graph-powered features through APIs and programming languages.Real-World Use CasesSee how graph databases are applied to practical scenarios such as fraud detection, recommendation systems, knowledge graphs, and supply chain analysis.Maintenance and TroubleshootingUnderstand how to monitor performance, troubleshoot queries, and maintain reliable graph database systems.Why Choose This Book?This guide is designed for professionals who want a practical understanding of Neo4j without unnecessary complexity. It explains not only how to use graph databases, but why graph-based approaches are effective for connected data problems. With a focus on real-world application, the book enables readers to apply concepts immediately and confidently.Who Is This Book For?This book is suitable for anyone working with connected data, including: Developers building graph-powered applicationsData professionals analyzing networks and relationshipsArchitects and technical leaders designing scalable data systemsBusiness and technology professionals seeking insight into graph-driven solutions This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.