Graph Database Modeling With Neo4j

De: Ajit Singh

Narrado por: Virtual Voice

"Graph Database Modeling With Neo4j" is a comprehensive textbook designed to provide a thorough grounding in the principles, design, and application of graph databases, specifically using the industry-leading Neo4j platform. It serves as both a foundational guide for newcomers and a practical reference for advanced learners.


Philosophy

The core philosophy of this book is "learning by doing." I believe that true mastery of a technology like Neo4j comes not from abstract theory alone, but from hands-on application and problem-solving. Every concept is introduced with a clear "why" before diving into the "how." We will champion the "whiteboard-first" approach to data modeling, encouraging readers to think about data relationships visually and intuitively before translating them into code. The emphasis is consistently placed on building practical, efficient, and scalable solutions for real-world problems.


Key Features

1. Comprehensive Coverage: From basic graph theory to advanced application development and deployment, the book covers the entire lifecycle of a Neo4j project.
2. Hands-On Tutorials: Step-by-step instructions for setting up Neo4j, writing Cypher queries, importing data, and building applications.
3. Real-World Case Studies: Analysis of how graph databases are used in industries like social media, finance, and logistics to solve critical business problems.
4. Focus on Cypher: In-depth coverage of the Cypher query language, from fundamental clauses to advanced pattern matching, functions, and performance tuning.
5. Capstone Project: A complete, end-to-end DIY project with full working code and detailed explanations to build a portfolio-ready application.


To Whom This Book is Addressed

1. B.Tech and M.Tech Computer Science/IT Students: It is designed to serve as a primary textbook for a university-level course on NoSQL or Graph Databases.
2. Software Developers and Engineers: Professionals seeking to integrate graph database capabilities into their applications and learn a powerful new data modeling paradigm.
3. Data Scientists and Analysts: Individuals who want to leverage graph algorithms and analytics to uncover complex patterns and insights in connected data.
4. Database Administrators and Architects: Professionals looking to expand their expertise beyond relational databases to design and manage modern, scalable data solutions.
5. Self-Learners: Anyone with a basic understanding of databases who is curious about the power of graphs.