• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Graph Data Modeling: Mastering Neo4j for Advanced Querying

Graph Data Modeling: Mastering Neo4j for Advanced Querying

Paperback

Databases

ISBN13: 9798296204172
Publisher: Independently Published
Published: Aug 2 2025
Pages: 242
Weight: 0.94
Height: 0.51 Width: 7.00 Depth: 10.00
Language: English
In the rapidly advancing field of data management, the ability to harness connected data is the key to unlocking powerful insights and building scalable applications. Graph Data Modeling: Mastering Neo4j for Advanced Querying offers a comprehensive guide to leveraging Neo4j, the leading graph database, to design, query, and optimize complex systems that drive real-world impact.

Through engaging case studies and hands-on examples, This book guides you through the art and science of graph data modeling, drawing from his extensive experience in building graph-based solutions. Set against the backdrop of practical applications in retail, social networks, finance, and healthcare, this book reveals how Neo4j transforms raw data into actionable insights by capturing relationships in a way that traditional databases cannot match.

Learn why relational and NoSQL databases often struggle with interconnected data and how Neo4j's graph structure excels at tasks like recommendation systems, fraud detection, and knowledge graph creation. Through detailed examples, you'll see how graph databases enable efficient querying of complex relationships, delivering performance and scalability for modern applications. The book covers real-world scenarios, from identifying influential users in a social network to detecting suspicious financial transactions, demonstrating the power of graphs to solve problems that matter.

This practical guide provides a clear, step-by-step approach to mastering Neo4j, with actionable techniques for:

- Designing semantic graph schemas and ontologies tailored to your domain

Also in

Databases