🛠️ Technology Training & Competency Roadmap
Drive folder: https://drive.google.com/drive/folders/1TbnYlI6Dk0Cn52fwJXykovSVTetHL1fl
Canonical roadmap: Google Doc · PDF
Detailed competency reference: Google Doc
Technology is never the lesson by itself. The DMBOK concept is the lesson. Technology gives you a way to see, test, build, break, repair, trace, measure, or explain that concept.
Online technology roadmap
- Competency Model & Stop Boundaries
- T0–T5 — Environment, SQL, PostgreSQL & DBeaver
- T6–T11 — Python, pandas, Git, Data Formats & Later Tools
- Technology Timing & Readiness Gates
- Career Governance Platforms — Purview, Collibra & Employer-Specific Tools
Learning-resource rule
This is not a promise that ChatGPT authors full SQL/Python/PostgreSQL/etc. courses. You choose courses, books, videos, tutorials, and official documentation. This program defines:
- what to learn;
- why it matters to Data Management/Data Governance;
- required depth;
- which DMBOK/Meridian work it unlocks;
- readiness proof;
- where to stop.
Technology folders can hold your selected resources, notes, exercises, certificates/progress, and evidence of skill.
Core sequence
DMBOK THEORY → TECHNOLOGY SKILL → MERIDIAN BUSINESS PROBLEM → HANDS-ON WORK → EVIDENCE → DMBOK DEBRIEF
Critical career boundary
The target is a governance/data-management professional who can inspect and operationalize data controls—not a Data Engineer. Stop before production pipelines, advanced distributed processing, deep cloud/platform engineering, production DBA specialization, advanced software engineering, or ML/Data Science specialization unless a future explicit goal changes the scope.