II.
SkillArea overview
Reference · liveskill-area:graph-databases
Graph Databases overview
Graph database design, query languages (Cypher, Gremlin, SPARQL), and graph data modelling for connected data use cases. Covers knowledge graphs, network analysis, graph algorithms, and property graph vs RDF modelling choices.
Attributes
displayName
Graph Databases
description
Graph database design, query languages (Cypher, Gremlin, SPARQL), and graph
data modelling for connected data use cases. Covers knowledge graphs, network
analysis, graph algorithms, and property graph vs RDF modelling choices.
domains
expertiseLevels
- intermediate
- expert
Outgoing edges
applies_to2
- domain:databases·DomainDatabases
- domain:data-engineering·DomainData Engineering
Incoming edges
lib_requires_skill_area1
- lib-skill:social-sciences--network-analysis·LibrarySkillnetwork-analysis
prerequisite_for_learning2
- skill-area:graph-database-design·SkillAreaGraph Database Design
- skill-area:backend-data-persistence·SkillAreaBackend Data Persistence
requires_skill_area1
- stack-profile:knowledge-graph-platform·StackProfileKnowledge Graph Platform (Neo4j, Python, FastAPI, React, D3, Elasticsearch)
used_for1
- tool:neo4j·ToolNeo4j