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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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