Why Get Certified?

Welcome to Data Vault Alliance

More companies today require certification as a means of demonstrating your skill set; to prove you have what it takes to build successful solutions.  Our certifications equip you with world-class standards and ways of working that are sure to wow your customers!

Benefits

All team members speak the same language, making it easier to engage in global parallel teaming. Certified resources are interchangable, making agile backfill effortless!

How To

Find an instructor-led course, enroll and take the exam. Once you've passed the exam, engage a mentor from an authorized consulting partner and ensure success!

Value

Harness agile methodology to provide a robust solution for the enterprise with iterative approaches. Leverage Disciplined Agile Delivery from Scott Ambler and Mark Lines!

Discover More

Discover what it takes to get certified, when and where upcoming instructor-led courses will be held, or
preview the course agendas. We know you will be pleased with the quality of our curriculum.

What People Say

Over multiple years, Dan improved the Data Vault and evolved it into Data Vault 2.0. Today this System Of Business Intelligence includes not only a more sophisticated model, but an agile methodology, a reference architecture for enterprise data warehouse systems, and best practices for implementation.

The Data Vault 2.0 System Of Business Intelligence is ground-breaking, again. It incorporates concepts from massively parallel architectures, Big Data, real-time and unstructured data.”

Father of Data Warehousing, Bill Inmon

Our Authorized Instructors

Our Authorized CDVP2 Trainers are eager to assist you in solving your Big Data and Analytics burdens.
Click on a trainer to find out more about them.

Michael Olschimke

Nols Ebersohn

Vincent McBurney

Cindi Meyersohn

Bruce McCartney

Volker Nurnberg

Sunil Bahl

Sanjay Pande

Dan Linstedt

BIG DATA BUSINESS ISSUES & DATA VAULT 2.0

03:12

A discussion of big data and its relation to business intelligence and analytics. In reality, we want to leverage a methodology and
architecture in order to limit or eliminate the cost of re-engineering just because we want to scale our systems.