Graph Database Modeling: Build a Book Graph with Cypher and Neo4j

Managing highly connected data like authors, books, genres, and reviews can quickly become complex in traditional databases. Graph databases offer a natural way to represent these relationships, making data retrieval intuitive and fast. In this text-only course, you will learn to design a robust property graph model for a book catalog and write clean Cypher queries to extract valuable insights. You will transition from understanding basic graph concepts to structuring real-world relationships and optimizing database performance. What you'll learn: * Learn the core principles of property graph databases, including nodes, relationships, labels, and properties. * Design a structured book graph schema that connects authors, publishers, genres, and readers. * Master Cypher query basics to create, read, update, and delete graph data. * Write pattern-matching queries to discover deep connections and recommendations. * Apply modern index and constraint strategies to ensure data integrity. * Explore basic graph traversal techniques to query complex, multi-hop relationships. You will start with foundational graph terminology before moving on to hands-on schema design and query writing, concluding with practical optimization techniques. This course is designed for beginners who want to learn graph database modeling and Cypher query language, with no prior database experience required. Start reading today to unlock the power of connected data.