🔎 CDMP Master Topic Finder
Use this page when you remember the concept but not the chapter number. The links route you to the best existing teaching/practice layer rather than duplicating chapter content.
🏠 Study Home · 📖 Chapter Library · ⚔️ Confusion Pair Finder · 🧭 What Should I Study?
How to use this page
- Learn = explanation from the chapter's current Guided Learning layer.
- Target = exam distinctions and high-yield decisions.
- Compare = Battle Cards for neighboring concepts.
- Apply = Scenario Lab.
- Test = Question Bank.
- Recall = Teach-Back / blank-page retrieval.
- PDF = original DMBOK chapter stored locally in this private repository.
Fast jump by chapter
| Chapter | Topic | Learn | Compare | Test | |
|---|---|---|---|---|---|
| 1 | Data Management | Learn | Compare | Test | |
| 2 | Data Handling Ethics | Learn | Compare | Test | |
| 3 | Data Governance | Learn | Compare | Test | |
| 4 | Data Architecture | Learn | Compare | Test | |
| 5 | Data Modeling & Design | Learn | Compare | Test | |
| 6 | Data Storage & Operations | Learn | Compare | Test | |
| 7 | Data Security | Learn | Compare | Test | |
| 8 | Data Integration & Interoperability | Learn | Compare | Test | |
| 9 | Document & Content Management | Learn | Compare | Test | |
| 10 | Reference & Master Data | Learn | Compare | Test | |
| 11 | Data Warehousing & BI | Learn | Compare | Test | |
| 12 | Metadata Management | Learn | Compare | Test | |
| 13 | Data Quality Management | Learn | Compare | Test | |
| 14 | Big Data & Data Science | Learn | Compare | Test | |
| 15 | Data Management Maturity Assessment | Learn | Compare | Test | |
| 16 | Data Management Organization & Roles | Learn | Compare | Test | |
| 17 | Organizational Change Management | Learn | Compare | Test |
A–Z concept finder
A
- Accuracy — Chapter 13; truth/correct representation of the real-world fact. Learn · Compare
- Activity / Tools / Standards / People-Resources maturity dimensions — Chapter 15. Learn
- Adoption / adoption measurement — Chapters 16–17. Ch16 Learn · Ch17 Learn
- Aiken Pyramid — Chapter 1. Visuals
- AIM / SAM — Chapter 1 DMBOK orientation frameworks. Learn
- Alternate key / candidate key / primary key / superkey — Chapter 5. Compare
- Archive vs backup vs retention — Chapters 6 and 9. Ch6 Compare · Ch9 Compare
- Arity vs cardinality — Chapter 5. Compare
- As Designed vs As Implemented — Chapter 12 lineage. Compare
- Assessment vs monitoring — Chapter 13. Compare
- Assessment vs improvement program — Chapter 15. Compare
- Atomic detail — Chapter 11. Learn
- Authority list — Chapter 9. Compare
B
- Backup / recovery — Chapter 6. Learn
- Batch vs speed vs serving — Chapter 14. Compare
- Beneficence — Chapter 2 ethical principle. Learn
- BI vs Data Warehouse vs Data Warehousing — Chapter 11. Compare
- Big Data vs Data Science — Chapter 14. Compare
- Bi-Directional Metadata architecture — Chapter 12. Compare
- Bridges transition model — Chapter 17. Learn · Compare
- Business Metadata — Chapter 12; meaning/governance lens. Learn
- Business rule vs DQ rule — Chapter 13. Compare
- Business strategy → Data strategy → Data Management program strategy — Chapter 1. Learn
C
- Cardinality — Chapter 5. Learn
- Catalog vs glossary vs dictionary — Chapter 12. Compare
- CDC / Change Data Capture — Chapters 8 and 11. Ch8 Learn · Ch11 Learn
- Centralized / Decentralized / Hybrid / Federated / Network organization — Chapter 16. Compare
- Centralized / Distributed / Hybrid / Bi-Directional Metadata — Chapter 12. Compare
- Change coalition / urgency / vision / wins / anchoring — Chapter 17 Kotter. Learn
- Charter vs Scope Statement vs Roadmap — Chapter 1. Compare
- Classification of sensitive data — Chapter 7. Learn
- Completeness — Chapter 13. Learn
- Completeness vs Integrity — Chapter 13. Compare
- Composite vs compound — Chapter 5. Compare
- Conceptual / Logical / Physical Data Model — Chapter 5. Compare
- Conformed Dimension — Chapter 11. Compare
- Consistency — Chapter 13. Learn
- Consistency vs Uniqueness — Chapter 13. Compare
- Content vs Document vs Record — Chapter 9. Compare
- Control limit vs business acceptance threshold — Chapter 13. Compare
- Correction vs Prevention vs Root-Cause Remediation — Chapter 13. Compare
- Currency vs Timeliness — Chapter 13. Compare
- Current state vs target state — Chapters 4 and 15. Architecture · Maturity
D
- DAMA Wheel — Chapter 1. Visuals
- Data Architecture vs Data Modeling & Design — Chapters 4–5. Cross-domain
- Data Dictionary — Chapter 12. Learn
- Data Flow Design vs Enterprise Data Model — Chapter 4. Compare
- Data Governance vs Data Management — Chapters 1, 3, 16. Cross-domain
- Data lake vs data swamp — Chapter 14. Compare
- Data lineage — Chapters 1 and 12. Metadata Learn
- Data Management lifecycle vs SDLC — Chapter 1. Compare
- Data Mart — Chapter 11. Learn
- Data model vs metamodel — Chapters 5 and 12. Cross-domain
- Data Owner vs Data Steward — Chapters 3, 13, 16. Cross-domain
- Data Quality function vs improvement project — Chapter 13. Compare
- Data Quality SLA — Chapter 13. Learn
- Data Sharing Agreement vs interface specification — Chapter 10. Compare
- Data Stewardship — Chapters 3, 13, 16. Governance Learn
- Data Strategy vs Data Management Program Strategy — Chapter 1. Compare
- Data Warehouse / ODS / Staging / Mart / Cube — Chapter 11. Compare
- Decentralized vs Network organization — Chapter 16. Compare
- Denormalization vs normalization — Chapter 5. Compare
- Descriptive vs Predictive vs Prescriptive analytics — Chapter 14. Compare
- Deterministic vs probabilistic matching — Chapter 10. Compare
- Dimension vs Fact — Chapters 5 and 11. DW/BI Compare
- Dimension vs rule vs metric vs threshold — Chapter 13. Compare
- Disposition vs Retention vs Legal Hold — Chapter 9. Compare
- Distributed file storage vs MPP — Chapter 14. Compare
- DMMA Plan → Assess → Interpret → Improve → Re-assess — Chapter 15. Learn
- DMS vs RMS vs CMS vs ECM — Chapter 9. Compare
- DQ profiling — Chapter 13. Learn
E
- EDM / Enterprise Data Model — Chapters 4–5. Architecture Learn
- EDRM / eDiscovery stages — Chapter 9. Learn
- Enrichment vs Standardization vs Parsing — Chapter 13. Compare
- Enterprise Architecture interface — Chapter 16. Learn
- Entity vs instance — Chapter 5. Compare
- Entitlement / role design — Chapter 7. Learn
- Environmental Factors Hexagon — Chapter 1. Visuals
- Error Tag if Missed / Mistake Autopsy Tag — diagnostic metadata in later question banks; it is not proof of an actual learner error. Ch17 Questions
- ETL vs ELT — Chapters 8, 11, 14. Integration Compare
- Evidence-supported consensus — Chapter 15 maturity assessment. Learn
F
- Fact / Dimension / Conformed Dimension — Chapters 5 and 11. DW/BI Compare
- False positive vs false negative match — Chapter 10. Compare
- Federated organization — Chapter 16. Compare
- Fit for purpose — Chapter 13 core DQ definition. Learn
- Five Whys / fishbone / Pareto / process analysis — Chapter 13 root-cause techniques. Learn
- Forward vs reverse engineering — Chapter 5. Compare
- Fully automated vs manually-directed vs manual correction — Chapter 13. Compare
G
- Generalization vs specialization — Chapter 5. Compare
- Gleicher change formula — Chapter 17. Learn
- Global ID vs Source ID vs cross-reference — Chapter 10. Compare
- Glossary vs Dictionary vs Catalog — Chapter 12. Compare
- Golden Record vs Trusted Source — Chapter 10. Compare
- Governance decision rights — Chapter 3. Learn
- Governed self-service BI — Chapter 11. Learn
- Grain vs cardinality — Chapters 5 and 11. Modeling Compare
H
- Historical load vs recurring update — Chapter 11. Compare
- Hybrid organization — Chapter 16. Compare
- Hybrid Metadata architecture — Chapter 12. Compare
I
- Identifying vs non-identifying relationship — Chapter 5. Compare
- Identity resolution — Chapter 10. Learn
- Impact Analysis vs Lineage — Chapter 12. Compare
- Information Architecture vs Content Model — Chapter 9. Compare
- Initial DQ assessment vs monitoring — Chapter 13. Compare
- Inmon/CIF vs Kimball — Chapter 11. Compare
- Integration mapping vs orchestration — Chapter 8. Compare
- Integrity — Chapter 13 relationship/coherence dimension. Learn
- Issue assignment vs escalation — Chapter 13. Compare
J
- Justice — Chapter 2 ethical principle. Learn
K
- Key types — Chapter 5. Compare
- Kimball vs Inmon/CIF — Chapter 11. Compare
- Knowledge Area Context Diagram — Chapter 1. Visuals
- Kotter errors vs Kotter stages — Chapter 17. Compare
L
- Lake vs swamp — Chapter 14. Compare
- Late-arriving dimension: optimistic vs pessimistic — Chapter 11. Compare
- Legal Hold — Chapter 9. Learn
- Level vs within-level criterion score — Chapter 15. Compare
- Lineage vs lifecycle vs SDLC — Chapters 1 and 12. Ch1 Compare · Ch12 Compare
M
- Managed / Optimized maturity — Chapter 15. Learn
- Manually-directed correction — Chapter 13. Compare
- Mapping vs remediation vs transformation — Chapter 11. Compare
- Master Data vs Reference Data — Chapter 10. Compare
- Master Data vs Transaction Data — Chapter 10. Compare
- Materialized view vs view — Chapter 5. Compare
- Maturity L0–L5 — Chapter 15. Learn
- Metadata Administration vs Metadata Governance — Chapter 12. Compare
- Metadata completeness vs usage vs coverage vs quality — Chapter 12. Compare
- Metadata types: Business / Technical / Operational — Chapter 12. Learn
- Metric vs threshold — Chapter 13. Compare
- Migration — Chapters 6 and 8. Storage Learn · Integration Learn
- Model vs metamodel — Chapters 5 and 12. Cross-domain
- MPP — Chapter 14. Learn
N
- Network vs Decentralized organization — Chapter 16. Compare
- Normalization vs denormalization — Chapter 5. Compare
O
- ODS vs Staging vs Data Warehouse vs Data Mart — Chapter 11. Compare
- Ontology vs taxonomy vs thesaurus — Chapter 9. Compare
- Operating model vs org chart — Chapter 16. Compare
- Operational Metadata — Chapter 12. Learn
- Operational/tactical vs strategic BI — Chapter 11. Compare
- Over-fitting — Chapter 14. Learn
P
- Parsing vs Standardization vs Enrichment — Chapter 13. Compare
- P-C-D-O: Plan / Control / Develop / Operate — Chapter 1. Learn
- PDCA: Plan / Do / Check / Act — Chapter 13. Learn
- Physical vs Logical vs Conceptual model — Chapter 5. Compare
- Pilot/sandbox vs production readiness — Chapter 11. Compare
- Policy vs standard — Chapters 3 and 7. Governance Compare
- Precision vs Recall — Chapter 9 retrieval/search. Compare
- Prevention vs Correction vs Root-Cause Remediation — Chapter 13. Compare
- Privacy recombination risk — Chapter 14. Learn
- Probabilistic vs deterministic matching — Chapter 10. Compare
- Profiling vs assessment vs monitoring — Chapter 13. Compare
- Push vs Pull vs Interactive delivery — Chapter 9. Compare
Q
- Quality rule vs SLA — Chapters 10 and 13. DQ Compare
- Question-bank diagnostics — every chapter has answer-separated practice/diagnostic material where applicable. Chapter Library
R
- RACI / accountability — Chapters 3 and 16. Ch16 Learn
- Reasonableness vs Validity — Chapter 13. Compare
- Records Management vs Content Management — Chapter 9. Compare
- Reference Data vs Master Data — Chapter 10. Compare
- Registry vs Transaction Hub vs Consolidated MDM — Chapter 10. Compare
- Reinforcement learning — Chapter 14. Learn
- Replication — Chapters 6 and 8. Ch8 Learn
- Respect for Law and Public Interest — Chapter 2. Learn
- Respect for Persons — Chapter 2. Learn
- Retention vs archive vs purge — Chapters 6 and 9. Ch9 Compare
- Roadmap vs target state — Chapters 4 and 15. Architecture Compare
- Rogers diffusion/adoption — Chapter 17. Learn
- Root Cause Analysis — Chapter 13. Learn
S
- SAM / AIM — Chapter 1. Learn
- Scorecard vs trend vs SLA metric — Chapter 13. Compare
- Security classification — Chapter 7. Learn
- Serving / speed / batch — Chapter 14. Compare
- Six V's of Big Data — Chapter 14. Learn
- SLA vs DQ rule — Chapters 10 and 13. DQ Compare
- Source ID / Global ID / X-Ref — Chapter 10. Compare
- SPC / statistical process control — Chapter 13. Learn
- Staging vs ODS vs Warehouse vs Mart — Chapter 11. Compare
- Standardization vs enrichment vs identity resolution — Chapters 10 and 13. Ch10 Compare
- Stewardship — Chapters 3, 13, 16. Governance Learn
- Supervised vs unsupervised vs reinforcement — Chapter 14. Compare
- Synonym Ring — Chapter 9. Compare
- System of Record vs System of Reference — Chapter 10. Compare
T
- Taxonomy vs Thesaurus vs Ontology — Chapter 9. Compare
- Technical Metadata — Chapter 12. Learn
- Technical interface specification vs Data Sharing Agreement — Chapter 10. Compare
- Test vs validation vs training data — Chapter 14. Compare
- Threat vs vulnerability vs risk — Chapter 7. Compare
- Threshold vs metric vs rule — Chapter 13. Compare
- Timeliness vs Currency — Chapter 13. Compare
- Top-down vs bottom-up vs hybrid DQ implementation — Chapter 13. Compare
- Transaction Data vs Master Data — Chapter 10. Compare
- Transformation vs remediation vs mapping — Chapter 11. Compare
- Transition state vs target state — Chapter 4. Learn
- Trusted Source vs Golden Record — Chapter 10. Compare
U
- Uniqueness / deduplication — Chapter 13. Learn
- Uniqueness vs Consistency — Chapter 13. Compare
- Usage vs coverage vs performance vs satisfaction — Chapter 11 BI evidence. Compare
- Urgency / coalition / short-term wins — Chapter 17 Kotter. Learn
V
- Validity vs Accuracy — Chapter 13. Compare
- Validation vs Test vs Training — Chapter 14. Compare
- Version / Revision / Custody control — Chapter 9. Compare
- View vs Materialized View — Chapter 5. Compare
- Vision / dissatisfaction / first steps — Chapter 17 Gleicher. Learn
- Vulnerability vs Threat vs Risk — Chapter 7. Compare
W
- Warehouse vs Mart vs ODS vs Staging — Chapter 11. Compare
- Write-back / Bi-Directional Metadata — Chapter 12. Compare
X
- X-Ref / Cross-reference identifier — Chapter 10. Compare
Y
- No separate high-yield Y topic currently needs its own routing entry. Use repository search or the chapter library for literal terms.
Z
- Zachman — Chapter 4; ontology/classification framework, not a work-sequence methodology. Learn · Compare
Major framework finder
| Framework / model | Chapter | Best starting point |
|---|---|---|
| DAMA Wheel / SAM / AIM / Aiken Pyramid | 1 | Visuals |
| Ethical principles | 2 | Learn |
| Governance operating framework / stewardship | 3 | Learn |
| Zachman / target-state architecture / data-flow architecture | 4 | Learn |
| CDM → LDM → PDM | 5 | Visuals |
| Storage/operations support model | 6 | Learn |
| Security classification → entitlement → control → evidence | 7 | Learn |
| Integration lifecycle / interaction patterns | 8 | Learn |
| Records/content lifecycle / EDRM | 9 | Visuals |
| MDM identity / architecture patterns | 10 | Visuals |
| Inmon/CIF / Kimball / BI lifecycle | 11 | Visuals |
| Metadata architecture / lifecycle / lineage | 12 | Visuals |
| DQ dimensions / PDCA / seven activities / operations | 13 | Visuals |
| Big Data/Data Science lifecycle / six V's | 14 | Visuals |
| Maturity L0–L5 / DMMA lifecycle | 15 | Visuals |
| DMO operating models / stakeholder-role maps | 16 | Visuals |
| Bridges / Kotter / Gleicher / Rogers | 17 | Visuals |
If the topic appears in several chapters
Use this order:
- Find the chapter where the concept is primary.
- Read its Guided Learning explanation.
- Open its Battle Cards if the problem is discrimination.
- Use Cross-Domain Practice when the neighboring concept lives in another Knowledge Area.
- Use the Question Bank only after the deciding clue is clear.