CDVP2 Class Agenda
Data Vault 2.0 Boot Camp and Certification
We are happy you are deciding to investigate the Certified Data Vault 2.0 Practitioner (CDVP2) course further. We have provided a full agenda below that demonstrates the main topics the course covers. If you would like a more detailed course agenda, contact us and we will be happy to speak with you about additional details.
The practitioner certification test is included as a part of the course. The test is offered privately on-line, usually four (4) weeks after the class completes. You will need to contact your instructor for further details. We highly recommend studying, as the test is not easy. It is open book, open note.
The Training format is: 1 day of On-line CBT Video based training, 8 hours of run-time divided in to Modules, Modules are broken down in to 15 minute video segments. 3 days of in-person live training
Class Syllabus
Computer Based Training, On-Line
- What is Data Vault 2.0?
- DV1.0 Compared to DV2.0
- Issues Faced Today
- Data Vault 2.0 In Business
- Managed Self-Service BI
- Agile Delivery and DV2.0 Methodology
- Agile Requirements Gathering
- Technical Numbering
- Roles and Releases
- Architecture Components
Agenda Day 2
- Dependent Child (Data Modeling)
- Driving Key
- Link to Link Denormalization
- Link Unit Of Work
- Exploration Links
- Applying Links
- Non-Historized Link
- Satellites in Depth
- Reference Data
- Point-in-Time and Bridge Tables (Dashboards, analytical, virtual marts)
- Group Workshop
Agenda Day 1
- Data Vault 2.0 Overview / Review / Introduction
- DV2 Logical Data Flow
- Business Vault
- Information Marts
- Value of Data as an Asset
- Business Processes to Business Keys
- Hashing and Sequences
- Common Terminology
- Core DV Structures
Agenda Day 3
- Workshop Review
- Record Source Tracking
- Applying Set Logic
- ELT / ETL Performance Tuning
- Loading Architecture
- Column Comparison and Hash Differences
- Handling Null Business Keys
- Staging Loads
- DV2.0 Loading Templates / Standards
- Real-Time Loading
- Dealing with Corrupted Data
