{
  "id": "lib-process:data-engineering-analytics--pipeline-migration",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "pipeline-migration",
    "description": "Data Pipeline Migration - Comprehensive workflow for migrating data pipelines with\nassessment, migration strategy, dual-run validation, cutover planning, and rollback procedures\nto ensure zero-downtime migrations.",
    "libraryPath": "library/specializations/data-engineering-analytics/pipeline-migration.js",
    "specialization": "data-engineering-analytics",
    "references": [
      "- Data Pipeline Migration Best Practices: https://www.dataengineeringweekly.com/\n- Zero-Downtime Migration Patterns: https://martinfowler.com/bliki/StranglerFigApplication.html\n- Data Quality Validation: https://www.great-expectations.io/\n- Dual-Run Testing: https://cloud.google.com/architecture/migration-to-gcp-getting-started\n- Pipeline Testing: https://docs.getdbt.com/docs/building-a-dbt-project/tests"
    ],
    "example": "const result = await orchestrate('specializations/data-engineering-analytics/pipeline-migration', {\n  projectName: 'Legacy ETL to Modern ELT Migration',\n  sourceSystem: {\n    type: 'legacy-etl',\n    platform: 'informatica',\n    dataVolume: '500GB daily'\n  },\n  targetSystem: {\n    type: 'modern-elt',\n    platform: 'dbt',\n    cloudProvider: 'aws'\n  },\n  requirements: {\n    zeroDo wntime: true,\n    dualRunDuration: '30 days',\n    dataQualityValidation: true,\n    performanceComparison: true,\n    rollbackStrategy: true\n  }\n});",
    "usesAgents": [
      "migration-assessor",
      "dependency-analyzer",
      "migration-strategist",
      "pipeline-designer",
      "data-quality-engineer",
      "dual-run-engineer",
      "validation-engineer",
      "performance-analyzer",
      "cutover-planner",
      "rollback-strategist",
      "training-coordinator",
      "technical-writer",
      "monitoring-engineer",
      "cost-optimizer"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:data-engineering-analytics--pipeline-migration",
      "to": "domain:data-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--pipeline-migration",
      "to": "workflow:technical-debt-reduction",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--pipeline-migration",
      "to": "workflow:data-backfill-procedure",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--pipeline-migration",
      "to": "specialization:data-engineering-analytics",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--pipeline-migration",
      "to": "lib-agent:software-architecture--migration-strategist",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--pipeline-migration",
      "to": "lib-agent:data-engineering-analytics--data-quality-engineer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--pipeline-migration",
      "to": "lib-agent:meta--technical-writer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--pipeline-migration",
      "to": "lib-agent:ai-agents-conversational--cost-optimizer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}