{
  "id": "skill-area:graph-databases",
  "_kind": "SkillArea",
  "_file": "domain/skill-areas/skill-areas-semantic-pass-gaps.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Graph Databases",
    "description": "Graph database design, query languages (Cypher, Gremlin, SPARQL), and graph\ndata modelling for connected data use cases. Covers knowledge graphs, network\nanalysis, graph algorithms, and property graph vs RDF modelling choices.\n",
    "domains": [
      "domain:databases",
      "domain:data-engineering"
    ],
    "expertiseLevels": [
      "intermediate",
      "expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "skill-area:graph-databases",
      "to": "domain:databases",
      "kind": "applies_to",
      "attributes": {
        "confidence": "primary"
      }
    },
    {
      "from": "skill-area:graph-databases",
      "to": "domain:data-engineering",
      "kind": "applies_to",
      "attributes": {
        "confidence": "secondary"
      }
    }
  ],
  "incomingEdges": [
    {
      "from": "skill-area:graph-database-design",
      "to": "skill-area:graph-databases",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "recommended"
      }
    },
    {
      "from": "skill-area:backend-data-persistence",
      "to": "skill-area:graph-databases",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "recommended"
      }
    },
    {
      "from": "stack-profile:knowledge-graph-platform",
      "to": "skill-area:graph-databases",
      "kind": "requires_skill_area"
    },
    {
      "from": "tool:neo4j",
      "to": "skill-area:graph-databases",
      "kind": "used_for",
      "attributes": {}
    },
    {
      "from": "lib-skill:social-sciences--network-analysis",
      "to": "skill-area:graph-databases",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    }
  ]
}