{
  "id": "lib-process:data-science-ml--feature-store",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "feature-store",
    "description": "Feature Store Implementation and Management - Design, implement, and operationalize a feature store\nfor ML feature management with quality gates, validation, serving consistency, and iterative refinement.",
    "libraryPath": "library/specializations/data-science-ml/feature-store.js",
    "specialization": "data-science-ml",
    "references": [
      "- Feast Feature Store: https://docs.feast.dev/\n- Feature Store for ML by Google: https://cloud.google.com/architecture/ml-feature-stores-best-practices\n- Tecton Feature Platform: https://www.tecton.ai/\n- AWS SageMaker Feature Store: https://aws.amazon.com/sagemaker/feature-store/\n- Hopsworks Feature Store: https://www.hopsworks.ai/"
    ],
    "example": "const result = await orchestrate('specializations/data-science-ml/feature-store', {\n  projectName: 'Recommendation System',\n  featureStoreType: 'online-offline',\n  dataCharacteristics: { featureCount: 150, updateFrequency: 'realtime', dataVolume: '10TB' },\n  servingRequirements: { latencyMs: 50, throughputQPS: 10000, consistency: 'eventual' }\n});",
    "usesAgents": [
      "general-purpose"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:data-science-ml--feature-store",
      "to": "domain:data-science",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--feature-store",
      "to": "role:data-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--feature-store",
      "to": "workflow:data-pipeline-deployment",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-science-ml--feature-store",
      "to": "specialization:data-science-ml",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}