
Neo4j : Graph Database
Sainabou Macauley
Description
The conception of this book, "Neo4J: Graph Database", is rooted in a clear educational need. As educators and professionals, we observed a gap between the rapidly growing industry demand for graph database skills and the availability of academic resources that are both comprehensive and accessible. This book is our answer. It is meticulously crafted to serve as a primary textbook for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Information Technology, and related disciplines.Key Features of This Book:1. Simplest Practical Examples: Theory is minimized in favor of a "learn-by-doing" approach. The book is packed with the easiest possible, real-world examples and step-by-step tutorials.2. In-Depth Cypher Mastery: Two dedicated chapters on the Cypher query language ensure a thorough understanding, from basic reads and writes to complex aggregations and query chaining.3. Focus on Graph Data Modeling: A dedicated chapter teaches the art and science of translating real-world problems into efficient graph models—a critical and highly sought-after skill.4. Hands-On Graph Data Science: Introduces the powerful Graph Data Science (GDS) library to perform pathfinding, centrality analysis, and community detection on your data.5. Full-Stack Application Development: Provides practical guides for connecting Neo4j with Python, Java, and JavaScript, enabling students to build their own graph-powered applications.6. End-of-Chapter Exercises: Includes review questions and practical lab exercises at the end of each chapter to reinforce learning and test understanding.7. Latest Edition Content: Covers the most recent versions and features of Neo4j, Cypher, and its libraries, ensuring the knowledge is current and relevant.The book embarks on a structured learning path that takes the reader from a complete beginner to a proficient graph database user. It begins by establishing a strong foundation, explaining why graph databases are essential in today's data landscape. It then transitions into a hands-on