{
  "id": "lib-process:data-engineering-analytics--feature-store",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/data-engineering-analytics/feature-store",
    "description": "Feature Store Setup for Data Engineering - Design and implement production-ready feature store\ninfrastructure with feature engineering pipelines, offline/online stores, feature serving, versioning,\nand comprehensive monitoring. Supports Feast, Tecton, and cloud-native feature stores.",
    "libraryPath": "library/specializations/data-engineering-analytics/feature-store.js",
    "specialization": "data-engineering-analytics",
    "references": [
      "- Feast Feature Store: https://docs.feast.dev/",
      "- Tecton Feature Platform: https://docs.tecton.ai/",
      "- AWS SageMaker Feature Store: https://docs.aws.amazon.com/sagemaker/latest/dg/feature-store.html",
      "- GCP Vertex AI Feature Store: https://cloud.google.com/vertex-ai/docs/featurestore",
      "- Feature Store Best Practices: https://www.featurestore.org/",
      "- Feature Engineering at Scale: https://www.oreilly.com/library/view/feature-engineering-for/9781492053811/",
      "- Training-Serving Skew Prevention: https://developers.google.com/machine-learning/guides/rules-of-ml/"
    ],
    "example": "const result = await orchestrate('specializations/data-engineering-analytics/feature-store', {\n  projectName: 'E-commerce Feature Store',\n  platform: 'feast',\n  features: [\n    { name: 'user_features', entity: 'user', updateFrequency: 'daily' },\n    { name: 'product_features', entity: 'product', updateFrequency: 'hourly' },\n    { name: 'realtime_events', entity: 'session', updateFrequency: 'streaming' }\n  ],\n  requirements: {\n    onlineLatency: '10ms',\n    offlineQueryTime: '5min',\n    dataVolume: '100GB',\n    featureCount: 500,\n    monitoring: true,\n    versioning: true\n  }\n});",
    "usesAgents": [
      "data-architect",
      "feature-registry-engineer",
      "online-store-engineer",
      "offline-store-engineer",
      "pipeline-engineer",
      "streaming-engineer",
      "serving-engineer",
      "versioning-specialist",
      "consistency-validator",
      "monitoring-engineer",
      "quality-engineer",
      "performance-engineer",
      "alerting-engineer",
      "quality-specialist",
      "backfill-engineer",
      "infrastructure-engineer",
      "qa-engineer",
      "performance-tester",
      "consistency-tester",
      "technical-writer"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:data-engineering-analytics--feature-store",
      "to": "domain:data-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--feature-store",
      "to": "workflow:data-pipeline-deployment",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--feature-store",
      "to": "specialization:data-engineering-analytics",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--feature-store",
      "to": "lib-agent:software-architecture--data-architect",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--feature-store",
      "to": "lib-agent:decision-intelligence--consistency-validator",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--feature-store",
      "to": "lib-agent:software-architecture--performance-engineer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--feature-store",
      "to": "lib-agent:mechanical-engineering--quality-specialist",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--feature-store",
      "to": "lib-agent:shared--qa-engineer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--feature-store",
      "to": "lib-agent:meta--technical-writer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}