Data Strategy and ArchitectureATCAI & Data
Learning path

Navigating the Enterprise AI Data Pipeline

Skill Level
Fundamentals
Duration 30 minutes
Updated Oct 14, 2026

About this learning path

Build a mental model of the enterprise data pipeline, from where data originates to how analytics and AI results are delivered. Learn the major jobs along the way: ingesting, storing and governing, preparing, analyzing, and serving data.

Your instructors

Bryan PeroutkaWorld Wide TechnologyTech Solutions Arch II, ATC

Prerequisites

  1. General familiarity with data, applications, databases, analytics, and AI

What you'll learn

  1. Describe the stages of an enterprise data pipeline: ingest, store, process, analyze, and serve
  2. Explain the job each stage performs, without mapping one product to one stage
  3. Explain why enterprise data needs governance, classification, and visibility
  4. Distinguish a data lake, data warehouse, and data lakehouse at a conceptual level
  5. Recognize that some capabilities span multiple pipeline stages
  1. 1. The Enterprise Data Pipeline
    1. Enroll in this learning path to view locked contentNavigating the Enterprise AI Data Pipeline
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    2. Enroll in this learning path to view locked contentGetting Data Into the Pipeline
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    3. Enroll in this learning path to view locked contentStoring, Understanding, and Governing Enterprise Data
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    4. Enroll in this learning path to view locked contentPreparing Data for Use
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    5. Enroll in this learning path to view locked contentFrom Stored Data to Analytics and AI
      Article
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    6. Enroll in this learning path to view locked contentServing Data and AI Results
      Article
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  2. 2. Conclusion
    1. Enroll in this learning path to view locked contentQuiz
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    2. Enroll in this learning path to view locked contentLearning Path Complete
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