Graph Databases (189 results)

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Paperback. Condition: Very Good. Neo4j Graph Data Modeling: Design efficient and flexible databases by optimizing the power of Neo4j This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Paperback. Condition: new. Paperback. Can you imagine a world where complex data relationships are not a challenge but a superpower? In today's interconnected landscape, from social networks to supply chains, the ability to model, query, and analyze relationships is transforming industries. This is your definitive guide to mastering Neo4j, the world's leading graph database. This book empowers developers, data scientists, AI engineers, and architects to build robust, scalable graph-based solutions that turn intricate data connections into actionable insights.This comprehensive resource, explores Neo4j's native graph architecture and its high-performance Bolt protocol, offering practical, production-ready techniques for creating applications like recommendation engines, fraud detection systems, knowledge graphs, and network analytics platforms. Through a recurring movie recommendation system example, This book walks you through every step of the process from modeling interconnected data to deploying secure, high-availability systems. Drawing from real-world projects, such as optimizing a social network graph to handle millions of queries or securing sensitive financial data, Vale shares hard-earned lessons to ensure you avoid common pitfalls and achieve success.The book's strength lies in its balance of theoretical depth and hands-on practice. You'll learn how Neo4j's graph model outperforms traditional relational databases for relationship-heavy workloads, leveraging its native storage and traversal capabilities. The Bolt protocol, Neo4j's binary communication layer, is explored in detail, showing how it minimizes latency and maximizes throughput for efficient database interactions. Whether you're importing massive datasets, securing access with role-based controls, or scaling for global traffic, this book provides clear, actionable guidance backed by production-grade code and performance tuning strategies.Readers will benefit from: Production-Ready Code: Full, working examples in Cypher, Python, and configuration files, tested in real-world scenarios, enable you to implement solutions immediately.Performance Optimization: Techniques for indexing, query tuning, and resource allocation, like allocating 70% of server memory to the page cache, ensure your graphs perform at scale.Real-World Insights: Lessons from Vale's projects, such as recovering from a misconfigured cluster or catching a brute-force attack, prepare you for production challenges.Comprehensive Coverage: From data modeling to Graph Data Science (GDS) algorithms like PageRank and Louvain, the book covers the full Neo4j ecosystem, making it a one-stop resource.Whether you're a developer building your first graph application, a data scientist analyzing networks, or an architect designing enterprise systems, this book equips you to tackle real-world problems with confidence.Why choose Neo4j?Graph databases excel at revealing hidden patterns in interconnected data, from personalized recommendations to fraud rings. Neo4j's flexibility, combined with its powerful tools like GDS and AuraDB, makes it the go-to choice for modern data challenges. This book not only teaches you how to use Neo4j but also how to think in graphs, transforming your approach to data. Its focus on production deployment, security, and performance ensures your solutions are not just prototypes but enterprise-ready systems.Don't let complex data relationships hold you back. Whether you're enhancing user experiences, detecting anomalies, or building knowledge bases, Graph Databases with Neo4j is your roadmap to success. With its clear explanations, vivid examples, and expert insights, this book is an essential resource for anyone serious about graph technology. Grab your copy today an Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Condition: new. Paperback. In today's data-driven world, relationships matter more than ever. From social networks to fraud detection, recommendation engines to knowledge graphs, traditional databases fall short when it comes to highly connected data. That's where graph databases excel and Neo4j, the world's leading native graph database, stands at the forefront. With its powerful property graph model and expressive Cypher query language, Neo4j enables you to explore and extract insights from your data like never before.Written by a seasoned practitioner with hands-on experience deploying real-world graph systems, this guide goes beyond theory. Every chapter reflects best practices rooted in real projects-from startups to enterprise systems-and is designed for professionals who want more than just academic examples. Whether you're migrating from relational databases, integrating graphs into full-stack apps, or building intelligent systems, this book provides a grounded, practical approach that gets results.Hands-On Graph Databases with Neo4j is your complete guide to understanding, building, and leveraging graph databases for real-world applications. You'll start with the fundamentals-nodes, relationships, and properties-and quickly advance to querying with Cypher, importing data from CSV, JSON, APIs, and modeling complex use cases like social networks, knowledge graphs, and fraud detection. From data enrichment with APOC procedures to scalable analysis with GDS, and from Neo4j Desktop to Aura and Docker deployments, this book equips you with the full toolkit.What's Inside: Mastering Cypher: Writing efficient and expressive graph queriesData Import: Handling CSVs, JSON, REST APIs, and bulk loadersGraph Algorithms: Centrality, community detection, similarity, and traversalsReal-World Projects: Build knowledge graphs, social networks, and full-stack appsNeo4j Integrations: REST APIs, GraphQL, Python, Node.js, and visualization with D3.js & NeovisProduction Guidance: Indexing, scaling, security, backups, and monitoringAdvanced Use Cases: LLM integration, Bloom visualization, and GDS pipelinesThis book is for developers, data engineers, architects, and analysts who want to build real-world graph applications with Neo4j. No prior graph experience is required, but basic familiarity with Python or JavaScript and general database concepts will be helpful. Whether you're coming from SQL, NoSQL, or a completely different background, this book bridges the gap and accelerates your journey into graph data modeling.In just a few focused sessions, you'll go from graph novice to confidently building production-grade Neo4j systems. You'll learn not only how to write Cypher queries but also how to think graph-first-a paradigm shift that transforms how you solve problems and uncover connections. From first node to deployed app, this book respects your time and delivers immediate, actionable knowledge.Ready to master Neo4j and unlock the full power of connected data? Whether you're building a recommendation engine, visualizing a knowledge graph, or deploying a graph-powered backend, this book gives you everything you need. Grab your copy of Hands-On Graph Databases with Neo4j today and start turning complex data into meaningful insights one relationship at a time. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.