BiteSizedChunks.comLearn one small thing at a time.

Course contentsShow

451What is a Graph Database?
452Graph Model: Nodes and Edges
453Property Graphs vs RDF Triples
454When Relationships Are First-Class Citizens
455Index-Free Adjacency
456Graph Query Languages: Cypher and Gremlin
457Use Cases: Social Networks and Recommendations
458Use Cases: Fraud Detection and Knowledge Graphs
459Graph vs Relational Trade-offs
460Neo4j Architecture Overview
461Cypher Query Language Fundamentals
462Creating Nodes and Relationships
463Pattern Matching in Cypher
464Traversal Queries: Friends of Friends
465Variable-Length Paths
466Shortest Path Algorithms
467Filtering and Aggregating Graph Data
468Graph Algorithms: PageRank and Centrality
469Indexes and Query Performance
470Transaction Model and ACID in Neo4j
471Why Graphs: Relationship-Heavy Data Models
472Social Networks and Friend-of-Friend Queries
473Recommendation Engines with Graph Traversal
474Fraud Detection Through Pattern Matching
475Knowledge Graphs and Semantic Networks
476Graph Query Performance Characteristics
477Index-Free Adjacency and Physical Storage
478When Graphs Underperform: Aggregations and Scans
479Hybrid Architectures: Combining Graph and Relational
480Graph Database Scaling Limitations

451What is a Graph Database?
452Graph Model: Nodes and Edges
453Property Graphs vs RDF Triples
454When Relationships Are First-Class Citizens
455Index-Free Adjacency
456Graph Query Languages: Cypher and Gremlin
457Use Cases: Social Networks and Recommendations
458Use Cases: Fraud Detection and Knowledge Graphs
459Graph vs Relational Trade-offs
460Neo4j Architecture Overview
461Cypher Query Language Fundamentals
462Creating Nodes and Relationships
463Pattern Matching in Cypher
464Traversal Queries: Friends of Friends
465Variable-Length Paths
466Shortest Path Algorithms
467Filtering and Aggregating Graph Data
468Graph Algorithms: PageRank and Centrality
469Indexes and Query Performance
470Transaction Model and ACID in Neo4j
471Why Graphs: Relationship-Heavy Data Models
472Social Networks and Friend-of-Friend Queries
473Recommendation Engines with Graph Traversal
474Fraud Detection Through Pattern Matching
475Knowledge Graphs and Semantic Networks
476Graph Query Performance Characteristics
477Index-Free Adjacency and Physical Storage
478When Graphs Underperform: Aggregations and Scans
479Hybrid Architectures: Combining Graph and Relational
480Graph Database Scaling Limitations

← System Design

Lesson 462 of 1,919·13. NoSQL: Graph DatabasesPro lesson

Creating Nodes and Relationships

Using CREATE and MERGE to add nodes with labels, properties, and directed relationships to the graph.

This lesson is for subscribers

You've completed the free preview. Subscribe to unlock every lesson in every course.

See pricing Back to course