This comprehensive guide, "Graph Data Processing with Cypher," provides a clear and practical approach to mastering Cypher for querying Neo4j graph databases. Packed with real-world examples and detailed explanations, you'll learn how to model graph data, write and optimize Cypher queries, and leverage advanced features to extract meaningful insights from your data. What this Book will help me do Master the Cypher query language, from basics to advanced graph traversal techniques. Develop graph data models based on real-world business requirements and efficiently load data. Optimize Cypher queries for performance through query profiling and tuning techniques. Enhance Cypher's capabilities using APOC utilities for advanced data processing. Create impactful visualizations of graph data using tools like Neo4j Bloom. Author(s) Ravindranatha Anthapu has vast expertise in graph databases and years of professional experience working with Cypher and Neo4j. He brings a hands-on and accessible approach to teaching technical concepts, aiming to empower developers to effectively use graph databases. Through a passion for knowledge-sharing, Ravindranatha ensures readers feel both supported and challenged in their learning journey. Who is it for? This book is ideal for database administrators, developers, and architects, especially those who work with graph databases or want to transition into this domain. Beginners with basic Cypher knowledge and professionals aiming to advance their graph modeling and query optimization skills will find this resource invaluable. It is especially beneficial for individuals seeking to harness the full potential of Neo4j graph databases through Cypher.