Neo4j Graph Data Modelling provides practical guidance in designing and implementing graph databases using Neo4j. This book walks you through modeling concepts, database evolution, and performance optimization. You'll learn how to model real-world domains, write Cypher queries, and adapt your database as requirements change. What this Book will help me do Model data effectively using Neo4j to represent complex relationships. Translate real-world problems into graph database designs efficiently. Write optimized Cypher queries to retrieve and manipulate data. Improve database performance through thoughtful design practices. Adapt and evolve databases seamlessly as application needs change. Author(s) Mahesh K Lal is an experienced developer and database specialist with a deep understanding of graph data modeling. With a focus on practical and accessible instruction, Mahesh's work provides actionable insights into database design. Neo4j Graph Data Modelling reflects his years of hands-on experience with Neo4j. Who is it for? This book is designed for software developers and data professionals looking to explore graph databases. If you aim to effectively model real-world situations using Neo4j or optimize database queries, this guide is for you. Prior experience with databases is helpful but not mandatory.