The Certified Data Vault Data Modeller Course 2026
CDVDM 2026
Course Duration: 3 consecutive days (classroom-based)
Training Dates: 12 – 14 May 2026
Location: Simon’s Town, Western Cape, South Africa.
Instructor: Remco Broekmans from Genesee Academy
For prices, please click here
Early Bird fee ends two weeks before the event
This course is for all Data Professionals
For course breakdown, click here
The Certified Data Vault Data Modeller (CDVDM) Course 2026 is a three‑day intensive program offered by Genesee Academy that trains professionals in the principles and practices of Data Vault modelling. It focuses on ensemble modelling patterns, the Ensemble Logical Model (ELM), and the application of Data Vault techniques to enterprise data integration and warehousing initiatives.
Exam Structure
Language: The exam is written in English. Grammar and spelling are not graded; the assessment focuses solely on ideas, concepts, and modelling ability.
Format: The exam is conducted entirely online and consists of:
Two theoretical parts – testing conceptual understanding of Data Vault constructs, ensemble modelling, historization, and enterprise integration principles.
Two modelling parts – requiring practical application of Data Vault modelling techniques in case scenarios.
Duration: The exam, including the preparation session, lasts up to 3 hours.
Certification Outcome
Successful completion and purchase of the plan entitles the recipient to the designation of Certified Data Vault Data Modeller (CDVDM).
This credential validates mastery of Data Vault modelling patterns, ensemble approaches, historization, and enterprise data integration practices.
It demonstrates readiness to design agile, auditable, and scalable data solutions across diverse architectures
(traditional, big data, streaming, distributed ledger, mesh, and cloud).
Course Outline
Day 1: Foundations of Data Vault Modelling
DW Modelling with CBC & NBR
Ensemble Modelling & ELM
Data Vault Core Constructs
Comparing Modelling Methods
Tracking History
Information & Logical Modelling
Data Vault Modelling Process
Group & Individual Exercises
Link Design, Keyed-Instance, SAL/HAL, CBC Hub & Identifier Topics
Disconnected Pattern & Reference Tables
Day 2: Advanced Modelling Practices
Q&A from Day One
Group Modelling Case continuation
Satellite Design & Special Satellites
Expanded NBR & RDH Guidance
Modelling Context Close to Key
Applying DV Ensemble
Standard & Expanded Attributes
Managing Dates / Bi-temporal Data
Interactive Whiteboard Topics
LSAT, MVSAT, T-Link Guidance
Begin 2nd Group Modelling Case
Day 3: Integration & Certification
Q&A from Day Two
Group Modelling Case continuation
Architecture & Loading Patterns
Class Discussion
Exam Recap & Preparation
Certification Exam (CDVDM)
Key Benefits of attending the CDVDM Course:
Agility – Equip your teams to build incrementally and adapt rapidly, ensuring your enterprise data programs remain responsive to change.
Integration – Achieve seamless alignment between business requirements and large‑scale data integration, strengthening the connection between strategy and execution.
Auditability – Gain full historization and traceability of enterprise data assets, enabling transparency, compliance, and confidence in decision‑making.
Versatility – Apply Data Vault modelling across diverse architectures—traditional, big data, streaming, distributed ledger, mesh, and cloud—ensuring your solutions are future‑proof and scalable.
Who should attend?
Data Modelers
Enterprise Architects
Business Analysts
Model Managers
Data Warehousing & BI Professionals
Data Warehouse DBAs, Developers, Testers
Data Scientists, ETL/ELT Professionals
CTOs, CIOs
Data Governance & MDM Professionals
Big Data & Streaming Developers
Program Managers, Information Modellers, Information Architects, BICC & Corporate Data Professionals
