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Graph Database Engineering with Neo4j: Designing, Querying, and Scaling Connected Data Systems for Intelligent Applications
Paperback
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ISBN13: 9798243185769
Publisher: Independently Published
Published: Jan 8 2026
Pages: 248
Weight: 0.96
Height: 0.52 Width: 7.00 Depth: 10.00
Language: English
Publisher: Independently Published
Published: Jan 8 2026
Pages: 248
Weight: 0.96
Height: 0.52 Width: 7.00 Depth: 10.00
Language: English
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 Learn
This book offers a clear roadmap for mastering Neo4j, blending theory with hands-on application:
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 applications
Data professionals analyzing networks and relationships
Architects and technical leaders designing scalable data systems
Business and technology professionals seeking insight into graph-driven solutions
What You'll Learn
This book offers a clear roadmap for mastering Neo4j, blending theory with hands-on application:
- Understanding Graph Databases
Learn why graph databases excel at modeling connected data, how they differ from traditional databases, and when Neo4j is the right choice. - Cypher Query Language
Master Cypher to query, traverse, and manipulate graph data efficiently, with a focus on clarity, performance, and scalability. - Data Modeling and Optimization
Discover best practices for designing flexible and efficient graph models, including indexing, constraints, and performance considerations. - Graph Analytics and Algorithms
Explore Neo4j's graph analytics capabilities to uncover patterns, analyze networks, and extract meaningful insights from connected data. - Building Intelligent Applications
Learn how Neo4j integrates into modern application architectures and supports graph-powered features through APIs and programming languages. - Real-World Use Cases
See how graph databases are applied to practical scenarios such as fraud detection, recommendation systems, knowledge graphs, and supply chain analysis. - Maintenance and Troubleshooting
Understand how to monitor performance, troubleshoot queries, and maintain reliable graph database systems.
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 applications
Data professionals analyzing networks and relationships
Architects and technical leaders designing scalable data systems
Business and technology professionals seeking insight into graph-driven solutions
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