- Description
- Des chevaux et leurs jockeys s'élançant des boîtes de départ d'un hippodrome
- Source
- Rudolph.A.furtado · original page
- Licence
- CC0 Public domain
Read This First
This file is the user guide for this section. You'll learn how to read a file (structure, tags, callout boxes), how to interpret a /5 rating or a maturity score, and how to choose your…
In brief
This file is the user guide for this section. You'll learn how to read a file (structure, tags, callout boxes), how to interpret a /5 rating or a maturity score, and how to choose your path based on your profile and your time. Plan for ten minutes here: they prevent misunderstandings about ratings.
Level: 🟢
File contents#
| File | Role |
|---|---|
| RATING | How to read /5 ratings and aspects; matrix rating rule; 🟢🟡🔴 scale; callout legend |
| READING PATHS | Reading paths by profile (novice, practitioner, expert, data project manager, BI developer, trainer) and by duration |
| Glossary | More than 90 terms, each linked to the file that explores it in depth |
| Portal | Map of the five files |
Anatomy of a file#
Every content file follows the same template:
- Title, breadcrumb, and meta line — level covered, update date, reading time.
- In brief — what you'll be able to do after reading.
- Table of contents — anchors to sections.
- Progressive body — first 🟢 (fundamentals), then 🟡 (practice), then 🔴 (expert).
- Callout boxes — ✅ good practice, ⚠️ pitfall, 💡 expert tip, 🧪 example, 🤖 AI.
- Metrics — /5 rating tables with justification, when comparison makes sense.
- See also, navigation, and signature — links to related files.
💡 Expert tip
Read “In brief” and then the ⚠️ callouts first: in two minutes, they give you the most transferable part of the file.
How to navigate#
- Topic entry point: the portal lists the five files and their content files.
- Term entry point: the glossary points to deeper coverage.
- Profile entry point: READING PATHS.
- Measurement entry point: Maturity Matrices — Principles, Anatomy, and Comparison and their Self-Assessment with Maturity Matrices.
- Content files cross-reference each other: a matrix topic points to the method that teaches it (for example Data Quality and CI/CD for Data: Databases, Datamarts, Pipelines, and Reports), and vice versa.
What this section is not#
- Not a normative framework: no method here is “the right one” in absolute terms.
- Not product documentation: Fabric, Power BI, or Azure DevOps features change quickly; check status (as of 2026-10) before deciding.
- Not an evaluation of people: ratings and scores assess practices and contexts, never individuals.
- Not a substitute for judgment: AI drafted these files, but a human is accountable for using them (see Cross-Cutting Overview — AI Contribution).
See also#
- Rating: How to Read Scores, Ratings, and Legend · Reading Paths · Glossary
- Bibliography and Resources
✻ Written by Claude Sonnet 5.5
