Learning Neo4j 3.x
Practical and Conceptual learning concepts of Neo4j 3.x
Created by Shehzad Ahmed
Explore how to manage and analyze connected data using Neo4j 3.x, a leading graph database. You will discover how graph databases work, their advantages over traditional systems, and practical ways to model and query complex data relationships. Build confidence in handling large volumes of connected data for real-world applications.
Packt | Feb 2019 | 130 min
What You Will Learn
You will start by learning the core concepts of graph databases and how Neo4j differs from traditional systems. Through hands-on examples, you will practice data modeling, querying with Cypher, and exploring new features in Neo4j 3.x. Each step builds your skills so you can confidently manage and analyze connected data.
Key Features
- Model and query complex data relationships using Neo4j's graph database features
- Apply Cypher Query Language to create, modify, and analyze graph data efficiently
- Understand graph theory concepts and how they solve real-world data challenges
Target Audience
Ideal for developers and aspiring data scientists who want to leverage graph analytics in their work. If you have basic knowledge of databases and some familiarity with Java, you will quickly pick up the practical skills needed to use Neo4j for building smarter, more connected applications.
