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01 — Guided Learning

Read these lessons in order. The goal is to understand one managed lifecycle, not collect isolated technology definitions.

  1. The Chapter 14 Mental Model
  2. Big Data Diagnostics and Analytics Horizons
  3. Two Process Views and Strategy
  4. Architecture: ETL/ELT, Lakes, and Service Layers
  5. Machine Learning and Mining by Problem Type
  6. Sources, Ingestion, Metadata, and Data Quality
  7. Alignment, Hypotheses, and Model Evidence
  8. Communication, Deployment, and Tool Choice
  9. Implementation, Governance, Privacy, and Metrics

Source boundary: DAMA-DMBOK2 Revised Chapter 14, pp. 471–501.

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