CDGP study guide
CDGP · Work through your exam, one topic at a time.
The CDGP - expanded in common usage as the Certified Data Governance Professional credential - is presented on this page as a data management certification associated with DAMA International®, the professional association behind the DAMA-DMBOK® guide and the CDMP® certification program. Candidates typically consider it when their work centers on data governance, stewardship, policy, and the organizational side of data management rather than purely technical implementation, though the exact intended audience has not been confirmed against a live specification page. The CDGP study guide has 5 sections and about 1,569 words.
01Data Governance
Data governance is the exercise of authority and control over data management - planning, monitoring, and enforcement. The single most tested distinction is this: governance decides who decides; management does the work.
316 words, about 2 min02Data Management Fundamentals
DAMA-DMBOK organizes data management into knowledge areas: Data Governance, Data Architecture, Data Modeling and Design, Data Storage and Operations, Data Security, Data Integration and Interoperability, Document and Content Management, Reference and Master Data, Data Warehousing and Business Intelligence, Metadata, and Data Quality. In the DMBOK "wheel," Data Governance sits at the center and the other areas surround it.
328 words, about 2 min03Data Quality Management
The DMBOK core dimensions are completeness, uniqueness, timeliness, validity, accuracy, and consistency (some frameworks add conformity, precision, accessibility, believability). Accuracy - data correctly describes the real-world object.
317 words, about 2 min04Metadata Management
Metadata is data about data, and exam questions almost always hinge on classifying it: Business metadata - business names, definitions, business rules, glossaries, ownership, stewards, KPIs. Technical metadata - schemas, tables, columns, data types, keys, models, source-to-target mappings, ETL logic, file layouts.
304 words, about 2 min05Data Architecture and Data Modeling
Enterprise architecture frameworks give structure: Zachman (interrogatives - what, how, where, who, when, why - across perspectives), TOGAF (Architecture Development Method), and FEAF. Data architecture is one domain among enterprise, business, application, and technology architecture.
304 words, about 2 min