DMZ Europe


18-19 November 2021 (Pre conference workshops 17 NOv, post 22-24 nov)

Many organizations invest heavily in change without knowing what information they need.

Data modeling is the process of understanding, documenting, and validating the data used within our operational and analytical initiatives. A data model is therefore an essential part of applications development including forward engineering, reverse engineering, and integration efforts.

At Data Modeling Zone, teams learn how to communicate about data – using proven tools, the latest techniques, and relevant case studies.

DMZ provides training focused on developing data modelling skills for all levels of expertise. It’s the leading reputable, international event that travels the US, Europe, and Asia Pacific. 

Data modeling leaders from across the globe share their knowledge. There are also three preconference workshops.  

Pre- and Post- Conference Workshops

Data Modeling Master Class
Best Practices Approach to Competency in Data Modeling
We need a data “town plan” for Data Vault (and more)
Data Modeling Patterns for Enterprise Modeling and Data Vault Designs
CDMP Workshop
All about DAMA's DMBOK2 and the CDMP Exams

Partner Associations members receive 20% Discount
on conference and workshop packages

Keynote Speakers

Power of the Business Terms Model
Steve Hoberman is a data modeling instructor, author, and addict.
Boost your Energy
Dominique Monami is a world-famous tennis player who reached the Top 10 on the world ranking.

Data models are the main tools for communicating data and information requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Data modelling skills are not static. Four reasons to develop data modeling skills are:

Manage information complexity

Deal with increasing needs, sources and types of data

Gather more complex requirements

Understand fact-based modelling techniques and how they work well with schema-less data

Work with technology change

Agile, Cloud, Big Data and Artificial Intelligence are technology-driven changes that will impact on data architectures

Work with new data structures

Learn how to model Graph, NoSQL and document data

Data Modelling Zone is for anyone in IT or business who works with data or is involved in the development of data capability within an organisation. Whether an analyst, developer or project manager – everyone needs to communicate and understand designs for developing information solutions.

Innovations Stream

Danny Greefhorst

The Role of Thesauri in Data Modeling

Torsten Glunde

Analytics Engineering and Data Modeling

Dr. Panos Alexopoulos

Crafting a data model evolution strategy - Defining, measuring and acting on your model’s semantic drift

Chris Bradley

7 uses for Data Models you probably won’t have thought of

Bob Conway

Quantifying the Value of Data

Dirk Lerner

Who, how, what - why, why, why - Therefore bitemporal data!

Rene R. William


Remco Broekmans

Genesee Academy

Case Studies Stream

Francesco Puppini

Building the Unified Star Schema

Michaël Brands


Steve Hoberman

Harness the Power of the Rosedata Stone

Marco Wobben

Fusion Cooking of Data, Facts, Rules & Process

Stefan Berner

Information Modelling

Rafid Reaz

Reverse Engineering

Wouter van Aerle

How fact-based modeling drives data architecture and data development

Roy Maassen

How fact-based modeling drives data architecture and data development

Peter Campbell

Connecting the Data Dots using Industry Standards

Tools Stream

John Giles

Creativity, fun, and team work – an Aussie perspective

Zacharias Voulgaris

Common Misconceptions about Machine Learning

Remco Brouwer

Randstad's Data Strategy and Frameworks

Charles Verleyen

Randstad's Data Strategy and Frameworks

Alex Nicolae

People Modelling

Gabriela Nicolae

People Modelling

Frédéric D’Hondt

Master Data Management supporting the SNCB Digital Transformation

Willy Joachim Fossi Gomssi

Master Data Management supporting the SNCB Digital Transformation

Christian Kaul

Becoming a Model-Driven Organization in Four Simple Steps

Roelant Vos

How to agree to disagree - a schema for Data Solution Automation, and Data Vault Fundamentals

Dave McComb

The key to Data-Centricity: Aligning Ontologies, Taxonomies and Schema

Juha Korpela

Data Models as the Business-Friendly Interface for Data Catalogs

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