Principles of Graph Data Modeling
Understand the core philosophy of graph modeling, focusing on nodes, relationships, and properties to represent real-world entities.
What is Graph Data Modeling?
Welcome to the world of graph data modeling! This lesson introduces you to the core philosophy behind representing your data as a network of interconnected entities.
Unlike traditional databases that use tables, graph databases store data in a way that directly reflects real-world connections. This approach can make complex relationships much easier to understand and query.
Relational vs. Graph Thinking
The biggest shift in graph modeling is moving from table-centric thinking to connection-centric thinking.
- Relational: Focuses on rows, columns, and joining tables via foreign keys.
- Graph: Focuses on entities and the direct relationships between them as first-class citizens.
Imagine your data not as separate lists, but as a map where everything is linked!
All lessons in this course
- Principles of Graph Data Modeling
- Designing Your First Graph Model
- Schema Constraints and Indexes
- Refactoring and Evolving Your Graph Model