iiRecord
Agentic AI Atlas · ab-testing-pipeline
lib-process:data-engineering-analytics--ab-testing-pipelinea5c.ai
II.
LibraryProcess JSON

lib-process:data-engineering-analytics--ab-testing-pipeline

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ab-testing-pipeline json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:data-engineering-analytics--ab-testing-pipeline",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "ab-testing-pipeline",
    "description": "A/B Testing Pipeline for Data Engineering - Build end-to-end A/B testing data pipeline with experiment\ntracking, randomization infrastructure, automated data collection, statistical analysis, guardrail metrics monitoring,\nand automated reporting capabilities.",
    "libraryPath": "library/specializations/data-engineering-analytics/ab-testing-pipeline.js",
    "specialization": "data-engineering-analytics",
    "references": [
      "- Microsoft Experimentation Platform: https://exp-platform.com/\n- Optimizely Stats Engine: https://www.optimizely.com/insights/blog/stats-engine/\n- Trustworthy Online Controlled Experiments: https://experimentguide.com/\n- Netflix Experimentation: https://netflixtechblog.com/its-all-a-bout-testing-the-netflix-experimentation-platform-4e1ca458c15\n- Airbnb Experiments at Scale: https://medium.com/airbnb-engineering/experiments-at-airbnb-e2db3abf39e7\n- Uber's Experimentation Platform: https://eng.uber.com/experimentation-platform/"
    ],
    "example": "const result = await orchestrate('specializations/data-engineering-analytics/ab-testing-pipeline', {\n  projectName: 'Homepage Redesign A/B Test',\n  experimentName: 'hero-banner-optimization',\n  variants: [\n    { name: 'control', description: 'Current hero banner' },\n    { name: 'treatment-a', description: 'New hero banner with CTA' },\n    { name: 'treatment-b', description: 'Video hero banner' }\n  ],\n  targetMetric: 'conversion_rate',\n  sampleSize: 50000,\n  duration: 14\n});",
    "usesAgents": [
      "general-purpose"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:data-engineering-analytics--ab-testing-pipeline",
      "to": "domain:data-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--ab-testing-pipeline",
      "to": "workflow:schema-migration",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:data-engineering-analytics--ab-testing-pipeline",
      "to": "specialization:data-engineering-analytics",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}