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A Brief Introduction to Graph Databases

Table of Contents

1. Welcome to Connected Data
2. Why Graphs Matter
3. Graph Theory Primer
4. Core Concepts: Nodes and Edges
5. Graph Models Compared
6. Data Organization Techniques
7. Querying Graphs: Languages That Click
8. Data Modeling Basics
9. Data Modeling Pitfalls to Avoid
10. Why Ditch Relational for Graphs?
11. NoSQL Context: Where Graphs Fit
12. Native vs Non-Native Processing
13. Graph Algorithms Essentials
14. Use Cases: Graphs in Action
15. Popular Graph Databases
16. Distribution and Transactions
17. Future Challenges
18. Imperative vs Declarative Queries
19. Pitfalls in Graph Modeling
20. Getting Started with Neo4j
21. Wrapping Up
22. Acknowledgements

Wrapping Up

Graphs transform data from static to dynamic. Build one—start small, query big.

← Getting Started with Neo4j Acknowledgements →

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