Data Vault Modeling
VIRTUAL OR IN-PERSON COURSE
This comprehensive 3 day course provides you with the knowledge and skills necessary to design and leverage Data Vault modeling in your organisation.
A certification exam is included to confirm you have understood the core Data Vault modeling pattern.
Register your interest now
This course is scheduled to run in different timezones around the world
LEARN PROVEN PATTERNS TO COMMON PROBLEMS
Comprehensive Coverage
Learn the full breadth of Data Vault modeling patterns, from fundamental principles to advanced implementation techniques.
Interactive Sessions:
Engage in live, online sessions with industry-leading experts.
Hands-On Practice
Global Networking
Certification
The course concludes with a certification exam that tests your knowledge and application of Data Vault modeling principles and patterns.
Passing this exam earns you the CDVDM (Certified Data Vault Data Modeler) Data Vault Certification, recognised globally.
Register your interest now
This course is scheduled to run in different timezones around the world
DESIGNED FOR PEOPLE IN THE DATA DOMAIN
This course is designed to help
Data Modeler
Data Architect
Business Analyst
Data Engineers
optimise your data pipeline processes by applying Data Vault’s systematic approach to data integration
Data Leaders
Data Platform Architects
Register your interest now
This course is scheduled to run in different timezones around the world
LEARN PROVEN PATTERNS TO COMMON PROBLEMS
What you will learn from this course
Introduction to Data Vault:
- The evolution of data warehousing
- Benefits of the Data Vault approach
- Key components: Hubs, Links, and Satellites
Data Vault Architecture:
- Understanding the architecture and design principles
- Data integration and loading patterns
- Implementation good practices
Modeling Techniques:
- How to model complex data relationships
- Designing for scalability and flexibility
- Hands-on modeling exercises
Performance Tuning:
- Optimizing Data Vault for performance
- Troubleshooting common challenges
- Advanced tuning techniques
Data Vault and Agile Methodologies:
- Integrating Data Vault with agile practices
- Continuous delivery and automation
- Case studies and real-world examples
Register your interest now
This course is scheduled to run in different timezones around the world
FACILITATED BY
Hans Hultgren
Author, speaker, and advisor.
Hans Hultgren is a Data Vault educator, author, trainer, and advisor.
Hans has a focus on modeling and architecture including Ensemble and Data Vault modeling.
Hans works internationally primarily in Nordics and EU (based in Stockholm), USA and Canada (based in Golden, CO) and down under in Sydney, Melbourne, Brisbane, Auckland and Wellington.
Hans was with the University of Denver for 20 years and now continues an education focus with hybrid course delivery including e-Learning components.
Courses delivered through Genesee Academy use blended and On-Demand training videos.
Hans published the book Modeling the Agile Data Warehouse with Data Vault which is available on Amazon websites.
Register your interest now
This course is scheduled to run in different timezones around the world
LEARN THEN DO
Course Syllabus
Time Commitment
The course is run as a 3 day in person or virtual course.
Day 1: Fundamentals of Data Vault Modeling
- Data Warehouse Modeling: Overview of data warehouse modeling approaches.
- Ensemble Modeling & ELM: Introduction to ensemble modeling and the Enterprise Logical Model (ELM).
- Data Vault Core Constructs: Understanding the core constructs of Data Vault (Hubs, Links, Satellites).
- Comparing Modeling Methods: Compare and contrast Data Vault with other modeling methods.
- Tracking History: Techniques for tracking historical changes in Data Vault.
- Information & Logical Modeling: Discussing information modeling in the context of Data Vault.
- Data Vault Modeling Process: Step-by-step process for Data Vault modeling.
- First Small Group Case Exercise: Hands-on group exercise to apply concepts.
Day 2: Advanced Data Vault Concepts
- Q&A from Day One
- Continue First Case Exercise
- Class Discussion & Group Presentations
- Link Design & Exceptions: Explore link design and handling exceptions.
- SAL & HAL: Understanding and applying Scalable Architecture Layer (SAL) and Highly Available Layer (HAL).
- Hub & Business Key Topics: Deep dive into Hub design and Business Key selection.
- Disconnected & Reference Tables: Managing disconnected and reference tables in Data Vault.
- Unit of Work & Keyed-Instance: Concepts and implementation of unit of work and keyed instances.
- Second Small Group Case Exercise: Applying advanced concepts in a group setting.
- Class Discussion & Group Presentations
Day 3: Part 1: Integrating Data Vault with Modern Practices
- Q&A from Day Two
- Data Vault & Agility: Integrating Data Vault with agile methodologies.
- Data Vault & Big Data: Applying Data Vault principles in a big data environment.
- Architecture & Layers: Understanding the different layers in a Data Vault architecture.
- Helpful Tables: Bridge & PIT: Introduction to Bridge and Point-In-Time (PIT) tables.
- Loading Patterns: Best practices for loading data into a Data Vault.
- Class Discussion
- Recap for Certification Exam
Day 3: Part 2: Certification Exam
- CDVDM Exam: Certification exam for Data Vault Modeling
Register your Interest
Email us on course.dv@agiledata.io or fill out the form.
We will be in touch.
Data Modeling for Agile Data Warehouse using Data Vault Modeling Approach. Includes Enterprise Data Warehouse Architecture.
This is a complete guide to the data vault data modeling approach. The book also includes business and program considerations for the agile data warehousing and business intelligence program.
There are over 200 diagrams and figures concerning modeling, core business concepts, architecture, business alignment, semantics, and modeling comparisons with 3NF and Dimensional modeling.
Register your interest now
This course is scheduled to run in different timezones around the world