Mastering Neo4j Database
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Mastering Neo4j Database
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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Neo4j Database written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unleash the Full Potential of Graph Databases with "Mastering Neo4j Database" In today's data-driven world, the ability to make sense of complex relationships within vast datasets is paramount. "Mastering Neo4j Database" is your comprehensive guide to mastering one of the most powerful graph databases available – Neo4j. Whether you're a seasoned data professional or a newcomer to the realm of graph technology, this book equips you with the knowledge and skills needed to harness the true capabilities of Neo4j. About the Book: "Mastering Neo4j Database" takes you on a journey through the intricacies of graph databases and Neo4j. From the foundational concepts of graph theory to advanced techniques in data modeling, querying, and optimization, this book covers it all. Each chapter is carefully crafted to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Graph Database Fundamentals: Lay a solid foundation by exploring the core concepts of graph databases, graph theory, and how Neo4j revolutionizes data representation. · Data Modeling: Learn how to design effective graph data models that accurately reflect your domain's relationships, ensuring efficient data storage and retrieval. · Cypher Query Language: Master the powerful Cypher query language used in Neo4j to perform complex graph traversals, pattern matching, and data manipulation. · Performance Optimization: Discover strategies for optimizing query performance and database design, ensuring Neo4j scales seamlessly as your data grows. · Advanced Techniques: Dive into advanced topics such as graph algorithms, full-text search, and integrating Neo4j with other tools and frameworks. · Real-World Applications: Explore a range of real-world use cases across industries, from social networks and recommendation systems to fraud detection and knowledge graphs. · Graph Data Science: Learn how to leverage Neo4j's graph data science capabilities to gain insights, perform machine learning, and uncover hidden patterns. · Administration and Security: Understand the best practices for managing and securing your Neo4j databases, ensuring data integrity and user privacy. Who This Book Is For: "Mastering Neo4j Database" is designed for data architects, developers, database administrators, and anyone passionate about leveraging the power of graph databases. Whether you're new to the world of graphs or looking to deepen your expertise, this book provides the insights and tools to navigate the complexities of Neo4j. Why You Should Read This Book: In an age where connected data is the foundation of innovation, Neo4j stands as a leader in graph database technology. "Mastering Neo4j Database" empowers you to fully unlock its potential, enabling you to create more insightful applications, perform advanced analytics, and make data-driven decisions that were once out of reach. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Mastering Neo4j
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Author : Vincent Victor
language : en
Publisher: Independently Published
Release Date : 2025-07-19
Mastering Neo4j written by Vincent Victor and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Computers categories.
In today's interconnected world, graph databases are revolutionizing how we model, query, and analyze connected data to drive innovation and solve complex challenges. Mastering Neo4j: A Comprehensive Guide to Graph Databases and Intelligent Applications is your definitive resource for unlocking the full potential of Neo4j, the world's leading graph database. This book equips developers, data scientists, and architects with the knowledge and tools to build intelligent, scalable, and high-performance applications powered by graph technology. What You'll Learn This comprehensive guide offers a structured, hands-on approach to mastering Neo4j, covering foundational concepts, advanced techniques, and real-world applications: Graph Database Fundamentals: Understand why graph databases outperform traditional relational databases for connected data, and discover when to leverage Neo4j for your projects. Cypher Query Language Mastery: Harness the power of Cypher to query, manipulate, and traverse complex graph structures with optimized, high-performance queries. Advanced Data Modeling: Learn schema-free graph design, create efficient nodes and relationships, and implement indexing and constraints for scalability and data integrity. Graph Algorithms and Analytics: Dive into Neo4j's Graph Data Science library to uncover hidden patterns, perform clustering, measure centrality, and drive actionable insights. Building Intelligent Applications: Integrate Neo4j with Python, JavaScript, and Java, and develop RESTful APIs to power modern, scalable web applications. Real-World Use Cases: Explore practical applications like fraud detection, knowledge graphs, recommendation systems, and supply chain optimization, with step-by-step case studies. Performance and Maintenance: Master techniques for monitoring Neo4j performance, troubleshooting Cypher queries, ensuring data consistency, and implementing robust backup and recovery strategies. Why Choose This Book? Mastering Neo4j stands out with its practical, keyword-rich approach, blending clear explanations with real-world examples and actionable insights. Designed for both beginners and seasoned professionals, it demystifies graph databases and empowers you to apply Neo4j's capabilities immediately. From understanding the "why" behind graph technology to mastering the "how" of building intelligent applications, this book is your ultimate guide to connected data. Who Is This Book For? This book is tailored for anyone working with graph data: Developers: Build high-performance, graph-powered applications with seamless integrations. Data Scientists: Leverage graph algorithms and analytics to uncover insights in complex networks. Business Professionals: Drive innovation with Neo4j in areas like fraud detection, customer 360, recommendation engines, and supply chain optimization. Why Neo4j? Neo4j is the gold standard in graph databases, trusted by global enterprises for its scalability, flexibility, and advanced analytics capabilities. With Mastering Neo4j, you'll gain the expertise to design, query, and analyze graph data at scale, unlocking new possibilities for intelligent applications and data-driven decision-making. Ready to transform how you work with connected data? Dive into Mastering Neo4j and unleash the power of graph databases today!
Graph Data Modeling
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Author : Cal Rowe
language : en
Publisher: Independently Published
Release Date : 2025-08-02
Graph Data Modeling written by Cal Rowe and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.
In the rapidly advancing field of data management, the ability to harness connected data is the key to unlocking powerful insights and building scalable applications. "Graph Data Modeling: Mastering Neo4j for Advanced Querying" offers a comprehensive guide to leveraging Neo4j, the leading graph database, to design, query, and optimize complex systems that drive real-world impact. Through engaging case studies and hands-on examples, This book guides you through the art and science of graph data modeling, drawing from his extensive experience in building graph-based solutions. Set against the backdrop of practical applications in retail, social networks, finance, and healthcare, this book reveals how Neo4j transforms raw data into actionable insights by capturing relationships in a way that traditional databases cannot match. Learn why relational and NoSQL databases often struggle with interconnected data and how Neo4j's graph structure excels at tasks like recommendation systems, fraud detection, and knowledge graph creation. Through detailed examples, you'll see how graph databases enable efficient querying of complex relationships, delivering performance and scalability for modern applications. The book covers real-world scenarios, from identifying influential users in a social network to detecting suspicious financial transactions, demonstrating the power of graphs to solve problems that matter. This practical guide provides a clear, step-by-step approach to mastering Neo4j, with actionable techniques for: - Designing semantic graph schemas and ontologies tailored to your domain - Integrating heterogeneous data sources into a unified graph - Optimizing queries and performance for large-scale graphs - Leveraging graph algorithms and AI integrations like GraphRAG and Text2Cypher - Deploying and securing Neo4j in production with cloud solutions like Aura Whether you're a data scientist, software engineer, or technology leader aiming to build smarter, more connected systems, this book equips you with the tools and knowledge to succeed. By the final chapter, you'll not only understand why graph databases are essential for today's data-driven world but also how to implement them effectively in your own projects, paving the way for innovation and impact.
Mastering Neo4j
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Author : VINCENT. VICTOR
language : en
Publisher:
Release Date : 2025
Mastering Neo4j written by VINCENT. VICTOR and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Neo4j Mastery
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Author : Zhao Colton
language : en
Publisher: Independently Published
Release Date : 2025-12-03
Neo4j Mastery written by Zhao Colton and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-03 with Computers categories.
Neo4j Mastery is a comprehensive, future-focused guide for developers, data engineers, analysts, and architects who want to harness the full potential of graph databases to build smarter, faster, and more connected applications. Written by Zhao Colton, this book provides a practical and deeply insightful approach to graph data modeling, Cypher query optimization, knowledge-graph design, graph analytics, real-time recommendations, and enterprise-scale graph solutions. Neo4j continues to lead the industry as organizations demand high-performance data relationships, intelligent search, and AI-ready graph infrastructures. This book equips you with the skills to implement modern graph architectures, integrate Neo4j into complex systems, and leverage its advanced tools to uncover insights impossible to detect with traditional relational databases. Inside, you'll explore: Core Neo4j Fundamentals Understand the architecture of Neo4j, how graph databases differ from SQL systems, and why relationships matter in modern applications. Cypher Query Language in Depth Master pattern matching, filtering, aggregations, traversals, indexing, and performance tuning using Cypher to build powerful, efficient queries. Graph Data Modeling Learn how to design flexible, scalable graph schemas for complex domains such as social networks, fraud detection, logistics, cybersecurity, and recommendation engines. Graph Algorithms and Analytics Use advanced Neo4j tools to run PageRank, community detection, similarity scoring, centrality analysis, and pathfinding to uncover hidden patterns and intelligence. Knowledge Graphs & AI Integration Build semantic knowledge structures and integrate graph data with machine learning pipelines, embeddings, and AI-driven reasoning systems. Real-World Graph Projects Step-by-step implementations including recommendation systems, fraud analysis, supply chain optimization, customer behavior mapping, and network monitoring. Performance, Scaling & Best Practices Techniques for clustering, indexing strategies, memory optimization, ETL pipelines, API integration, and securing Neo4j for production environments. Whether you're designing microservices, building AI-enhanced graph applications, optimizing enterprise data workflows, or learning how connected data transforms business intelligence, this book provides everything you need to become an expert Neo4j practitioner. Perfect for beginners looking to start strong and professionals who want to expand into advanced graph engineering. Unlock the power of connected data and transform the way you structure information-with Neo4j, the world's leading graph database platform.
Graph Databases With Neo4j
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Author : Ethan Vale
language : en
Publisher: Independently Published
Release Date : 2025-07-26
Graph Databases With Neo4j written by Ethan Vale and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-26 with Computers categories.
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 and start building smarter, faster, and more secure graph solutions that turn data into your competitive advantage!
Graph Intelligence With Neo4j
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Author : Ethan Cole
language : en
Publisher: Independently Published
Release Date : 2025-12-05
Graph Intelligence With Neo4j written by Ethan Cole and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-05 with Computers categories.
Unlock the true power of connected data with Graph Intelligence with Neo4j your complete, practical guide to designing, querying, and building real-world graph applications. In an era where relationships between data points can make or break your business decisions, Neo4j stands out as the world's leading graph database, empowering developers, data scientists, and enterprises to uncover insights hidden in complex networks. This book takes you on a step-by-step journey, starting with the fundamentals of graph databases and Neo4j architecture, then guiding you through advanced Cypher query techniques, graph algorithms, and real-world application integration. You'll learn how to model connected data, optimize performance, and build intelligent applications from recommendation engines to fraud detection systems and knowledge graphs. Packed with practical examples, hands-on exercises, and real-world case studies, Graph Intelligence with Neo4j ensures you not only understand the "how" but also the "why" behind every concept. Learn to harness the full potential of Neo4j's Graph Data Science library, integrate graph analytics into modern applications, and unlock actionable insights from your data. Whether you are a developer, data scientist, or business professional, this book is your ultimate roadmap to mastering graph intelligence. Transform your data into a powerful network of insights, make smarter decisions, and stay ahead in the connected-data revolution. Take the first step toward mastering Neo4j and redefine what your data can do.
Hands On Graph Databases With Neo4j
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Author : Nova Kellan
language : en
Publisher: Independently Published
Release Date : 2025-08-07
Hands On Graph Databases With Neo4j written by Nova Kellan and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-07 with Computers categories.
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 queries Data Import: Handling CSVs, JSON, REST APIs, and bulk loaders Graph Algorithms: Centrality, community detection, similarity, and traversals Real-World Projects: Build knowledge graphs, social networks, and full-stack apps Neo4j Integrations: REST APIs, GraphQL, Python, Node.js, and visualization with D3.js & Neovis Production Guidance: Indexing, scaling, security, backups, and monitoring Advanced Use Cases: LLM integration, Bloom visualization, and GDS pipelines This 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.
Graph Data Science With Python And Neo4j
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Author : Timothy Eastridge
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-03-11
Graph Data Science With Python And Neo4j written by Timothy Eastridge and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Computers categories.
Practical approaches to leveraging graph data science to solve real-world challenges. KEY FEATURES ● Explore the fundamentals of graph data science, its importance, and applications. ● Learn how to set up Python and Neo4j environments for graph data analysis. ● Discover techniques to visualize complex graph networks for better understanding. DESCRIPTION Graph Data Science with Python and Neo4j is your ultimate guide to unleashing the potential of graph data science by blending Python's robust capabilities with Neo4j's innovative graph database technology. From fundamental concepts to advanced analytics and machine learning techniques, you'll learn how to leverage interconnected data to drive actionable insights. Beyond theory, this book focuses on practical application, providing you with the hands-on skills needed to tackle real-world challenges. You'll explore cutting-edge integrations with Large Language Models (LLMs) like ChatGPT to build advanced recommendation systems. With intuitive frameworks and interconnected data strategies, you'll elevate your analytical prowess. This book offers a straightforward approach to mastering graph data science. With detailed explanations, real-world examples, and a dedicated GitHub repository filled with code examples, this book is an indispensable resource for anyone seeking to enhance their data practices with graph technology. Join us on this transformative journey across various industries, and unlock new, actionable insights from your data. WHAT WILL YOU LEARN ● Set up and utilize Python and Neo4j environments effectively for graph analysis. ● Import and manipulate data within the Neo4j graph database using Cypher Query Language. ● Visualize complex graph networks to gain insights into data relationships and patterns. ● Enhance data analysis by integrating ChatGPT for context-rich data enrichment. ● Explore advanced topics including Neo4j vector indexing and Retrieval-Augmented Generation (RAG). ● Develop recommendation engines leveraging graph embeddings for personalized suggestions. ● Build and deploy recommendation systems and fraud detection models using graph techniques. ● Gain insights into the future trends and advancements shaping the field of graph data science. WHO IS THIS BOOK FOR? This book caters to a diverse audience interested in leveraging the power of graph data science using Python and Neo4j. It includes Data Science Professionals, Software Engineers, Academic Researchers, Business Analysts, and Technology Hobbyists. This comprehensive book equips readers from various backgrounds to effectively utilize graph data science in their respective fields. TABLE OF CONTENTS 1. Introduction to Graph Data Science 2. Getting Started with Python and Neo4j 3. Import Data into the Neo4j Graph Database 4. Cypher Query Language 5. Visualizing Graph Networks 6. Enriching Neo4j Data with ChatGPT 7. Neo4j Vector Index and Retrieval-Augmented Generation (RAG) 8. Graph Algorithms in Neo4j 9. Recommendation Engines Using Embeddings 10. Fraud Detection CLOSING SUMMARY The Future of Graph Data Science Index
Mastering Framework
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Author : Douglas Hergert
language : en
Publisher:
Release Date : 1985
Mastering Framework written by Douglas Hergert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Computers categories.