6 Neo4j Books That Propel Your Graph Expertise

Mark Needham and Amy E. Hodler, both deeply entrenched in graph analytics through their roles at Neo4j, crafted this book to illuminate the practical use of graph algorithms in real-world applications. You’ll explore how these algorithms uncover hidden patterns in complex networks, improve machine learning models, and solve problems like detecting communities or bottlenecks. The authors walk you through more than 20 hands-on examples using Apache Spark and Neo4j, complete with sample datasets and code, making the concepts tangible. Whether you're a developer or data scientist aiming to harness graph analytics for predictive insights, this book equips you with actionable techniques and a solid understanding of when and how to deploy various algorithms.

Estelle Scifo draws on her extensive experience as a data scientist and Neo4j certified professional to guide you through the latest Neo4j 5 and its Graph Data Science library. You’ll learn how to query graph databases with Cypher, build graph datasets, and integrate graph algorithms into Python machine learning pipelines using the new GDSL driver. The book goes beyond basics, exploring link prediction and predictive embedding models to enhance your data science projects. If you’re comfortable with Neo4j fundamentals and Python’s data science stack, this book helps you take your skills into advanced graph analytics territory.

This tailored Neo4j Mastery Blueprint explores the essentials of graph databases with a focus on your unique background and objectives. It covers core Neo4j concepts such as graph modeling, Cypher querying, and graph algorithms, weaving these topics together in a way that matches your interests and skill level. By engaging deeply with the material, you'll uncover how to apply Neo4j to real-world problems like recommendation systems and network analysis, all within a learning pathway that feels relevant and manageable. The book’s personalized approach reveals connections between foundational theories and practical applications, making complex graph database concepts accessible and meaningful. This careful alignment with your goals helps turn knowledge into actionable understanding, providing a focused and rewarding Neo4j learning experience.

Ajit Singh, with his extensive 25-year teaching career and certifications including Neo4j and Microsoft's MCSE, offers a clear and approachable introduction to graph database modeling. You learn foundational graph theory concepts alongside practical techniques to model data using Neo4j's Cypher query language, with plenty of example scenarios like recommendation systems and shortest path calculations. The book walks you through data modeling strategies and the nuances of maintaining graph structures, making it a solid starting point if you want to understand how Neo4j handles connected data. If you're looking for an advanced deep dive or cutting-edge use cases, this may not fully satisfy, but it equips you well for fundamental graph database projects.

Ajit Singh's extensive career in computer science education and certifications led him to craft this focused guide on Neo4j graph databases. Here, you dive into graph theory basics and practical applications of Neo4j, learning how to model data as connected nodes and relationships. The book walks you through Cypher query language essentials and real-world use cases like recommendation systems and route calculations, making it ideal if you want to grasp both theory and hands-on skills. If you're aiming to understand graph databases beyond surface-level concepts, this book provides the structured knowledge to build meaningful graph-based solutions, though those seeking advanced Neo4j internals might look elsewhere.

What started as Timothy Eastridge's extensive work with financial fraud detection evolved into a clear and focused guide for integrating Python with Neo4j to harness graph data science. This book offers practical skills, like importing data into Neo4j, crafting Cypher queries, and building recommendation engines enhanced by Large Language Models such as ChatGPT. You’ll also learn to apply graph algorithms for tasks like fraud detection, making it ideal for those aiming to visualize and analyze complex networks. If you want hands-on projects and a direct path to leveraging graph databases in enterprise contexts, this book delivers a solid foundation without overcomplicating the topic.

This tailored book explores a focused, step-by-step approach to launching Neo4j projects efficiently and effectively. It covers essential stages from initial setup through to actionable queries and graph data visualization, emphasizing rapid progress without sacrificing understanding. By concentrating on your specific background and goals, the book offers a personalized pathway that matches your current knowledge and desired pace. Readers benefit from a tailored experience that bridges foundational Neo4j concepts with fast implementation tactics. This approach ensures each chapter addresses your unique interests, guiding you through practical tasks and challenges designed to produce measurable results within 30 days. It reveals how to navigate Neo4j’s ecosystem with confidence and agility, accelerating your graph database success.

The breakthrough moment came when Cristian Scutaru leveraged his extensive experience as a cloud solutions architect and former Microsoft employee to create this focused preparation tool for the Neo4j Certified Professional exam. You’ll engage with two full-length practice tests, each containing 80 questions carefully modeled on the actual exam’s structure, complete with detailed explanations and external references to deepen your understanding. This book doesn’t just quiz you; it highlights precisely where you went wrong, allowing you to refine your grasp of Cypher queries, data modeling, and developer concepts within Neo4j. If you’re aiming to pass or improve your certification score efficiently, this resource is tailored to sharpen your exam readiness without wasting time on irrelevant content.