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Technology Timing & Readiness Gates

The program uses just-in-time technology learning. Do not delay early DMBOK chapters while trying to learn the entire technical stack, and do not enter later technical labs before the minimum prerequisite skill exists.

Main timing map

Point in 00C route Technology requirement
Before Chapters 1–4 No major technology gate. Use Google Docs/Sheets/diagrams and light inspection only when helpful.
Before Chapter 5 Technology Gate A: T0 environment literacy + T1 SQL Foundations I + T2 SQL Foundations II + T4 PostgreSQL + T5 DBeaver + T9 Git.
Before Chapter 7 Add T3 SQL for Data Management so roles/views/controlled changes can be understood and tested safely.
Before Chapter 8 Technology Gate B: add T6 Python + T7 pandas + T8 Python↔PostgreSQL + T10 CSV/JSON/Parquet literacy.
Chapter 11 Introduce Metabase only when the warehouse/BI lab needs it.
Chapter 12 OpenMetadata is optional after manual Metadata/glossary/catalog/lineage understanding. Serious Microsoft Purview Data Governance career specialization may begin after the chapter foundation is understood.
Chapter 13 Extend governance-platform practice into Data Quality concepts; keep source meaning controlled by DMBOK.
Chapter 14 Introduce DuckDB for local larger-file/Parquet exploration.
API/Postman Introduce only if Chapter 8 or a later lab contains an API scenario.

What “ready” means

Do not gate progress on course-completion badges alone. A learner is ready when they can perform a small original task and explain it.

Gate A proof

The learner can:

  • navigate the project/environment without path confusion;
  • write/select/filter/join/group SQL from a blank editor;
  • explain primary/foreign-key relationships;
  • create/connect to the PostgreSQL lab environment;
  • inspect tables/keys/DDL in DBeaver;
  • use Git to review and commit a meaningful source change.

T3 proof before Chapter 7

The learner can create a small table/constraint/view, make a controlled change in a transaction, validate it, and explain the governance/data-management purpose of the object/control.

Gate B proof

The learner can:

  • write a small Python script from scratch;
  • profile and reconcile tabular data with pandas;
  • read from/write to PostgreSQL in a bounded lab workflow;
  • explain CSV vs JSON vs Parquet structure/metadata implications;
  • preserve raw sources and create separate reproducible outputs.

Failure rule

If a readiness check fails:

  1. Stay at the current 00C sequence.
  2. Identify the exact missing subskill.
  3. Use the roadmap plus a learner-selected resource to practice that subskill.
  4. Reattempt the readiness proof with a changed example.
  5. Advance only after the gate passes.

Overlearning rule

Stop studying a technology when you have the competency needed for the upcoming DMBOK/Meridian work. Additional depth is optional unless repeated lab difficulty or job-market evidence creates a real reason to extend it.

Source: Technology Competency Roadmap; 00C Master Step-by-Step Execution Manual technology-gate logic.