Neo4j : Graph Database
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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 exploration of the Neo4j ecosystem, from installation and data modeling to mastering the Cypher query language. Each concept is introduced with clear explanations and immediately reinforced with simple, step-by-step practical examples that readers can execute themselves.
Disclaimer: Earnest request from the Author.
Kindly go through the table of contents and refer kindle edition for a glance on the related contents.
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