Graph Database
Complete Guide to Modern Graph Databases
WIA-DATA-015
Chapter 1
Introduction to Graph Databases
Understanding graph data models, history, and core concepts
Chapter 2
Graph Data Modeling
Designing effective graph schemas and data structures
Chapter 3
Neo4j Deep Dive
Comprehensive guide to the leading graph database platform
Chapter 4
Graph Query Languages
Mastering Cypher, Gremlin, and other query languages
Chapter 5
Graph Algorithms and Analytics
Pathfinding, centrality, community detection, and more
Chapter 6
Building Knowledge Graphs
Creating semantic networks and knowledge representation systems
Chapter 7
Social Networks and Recommendation Systems
Real-world applications in social networking and recommendations
Chapter 8
Future Trends and AI Integration
Graph neural networks, machine learning, and the future