DMZ Europe Program

Program at a Glance

Pre-conference Tutorials

17 November 2021
We need a data “town plan” for Data Vault (and more)

People wouldn’t think of building a new city without a town plan. Having the best tradespeople with the best tools would not be sufficient for success.

Similarly, building a Data Vault with great developers and great automation tools is simply not enough. You also need a “data town plan”. And what’s more, this town plan can’t be built by only looking at today’s (or yesterday’s) IT systems and their data. The modellers have to engage with the business people to listen to their pain with today’s data constraints and their dreams of the future.

This tutorial starts by looking at how proven data model patterns can be leveraged to produce a consistent, business-centred enterprise view of the organisation’s data. Call it a corporate data model, a conceptual data model, an enterprise ontology or whatever you like, it provides a language that unites the business folk and the IT people. And a “sufficient” model can be produced that delivers quality-at-speed.

But a model that isn’t used is of questionable value. It could be applied to drive development of IT strategies, for benchmarking candidate IT solutions, to guide master data management … or to shape the design of an enterprise data warehouse. Dan Linstedt, the founder of Data Vault, stresses the need to use an “enterprise ontology” in forming a Data Vault, and this tutorial demonstrates one way of putting the enterprise modelling into practice by shaping a Data Vault design.

Here’s a few things to think about:

  • While the tutorial will provide a realistic case study, maybe you’d like to bring some business folk with you and use the opportunity to shape your own embryonic enterprise model?
  • Maybe you’ve witnessed technically focussed Data Vault projects that fall short, and would love help in shaping success through applying business views?

Please join in a fun journey that shows how you can put business people and data modellers on the same team, and deliver enterprise value.

17 November 2021
CDMP Workshop: All about DAMA's DMBOK2 and the CDMP Exams

This workshop addresses the Information Management disciplines as defined in the International Industry standard, DAMA body of knowledge (DMBoK) v2.  Taught by an industry recognized DAMA DMBoK(2.0) author and CDMP(Fellow) the workshop provides a foundation of the different disciplines across the Information Management spectrum.  By attending this workshop, delegates will get a firm grounding of the core Information Management concepts and a foundation for students wishing to take the Industry professional certification the DAMA Certified Data Management Professional (CDMP).  Students will have the opportunity to sit the Data Management Fundamentals examination, enabling students to leave the conference having attained their CDMP (Associate) certification.

The workshop is taught by the VP of Professional Development for DAMA International, author of “Data Modelling for the Business” an industry recognized DAMA DMBoK(2.0) author, DAMA CDMP(Fellow) Past President of DAMA UK, author and examiner of the professional CDMP certification and recipient of the DAMA Lifetime Achievement Award for Data Management Excellence. 

The workshop introduces students to the different levels of the CDMP certification, and helps students consolidate their existing Information Management experience by reinforcing Data management topics contained in the CDMP syllabus at the different levels. 

Post-conference Tutorial

22-24 November 2021
Data Modeling Master Class
Steve Hoberman
Steve Hoberman & Associates, LLC

Steve Hoberman’s Data Modeling Workshops are recognized as the most comprehensive in the industry.

Top 5 Objectives :

  • Determine how and when to use each data modeling component.
  • Apply techniques to elicit data requirements as a prerequisite to building a data model.
  • Build relational and dimensional conceptual, logical, and physical data models.
  • Assess the quality of a data model.
  • Incorporate supportability and extensibility features into the data model.

Who Should Attend

This workshop is designed for anyone with data, analyst, architect, developer, database and modeler in their job title. No prior knowledge is assumed.

Conference Schedule

Thursday, 18 November 2021
Innovations Track Tools and Techniques Track
8:30-8:50 Plenary Welcome and Introduction
9:00-9:50 Creativity, fun, and team work – an Aussie perspective
John Giles, Country Endeavours
Building the Unified Star Schema
Francesco Puppini, Francesco Puppini Consulting
10:00-10:50 Analytics Engineering and Data Modeling
Torsten Glunde, Alligator Company
Data Vault Fundamentals
Roelant Vos, Varigence
11:00-11:50 Crafting a data model evolution strategy - Defining, measuring and acting on your model’s semantic drift
Dr. Panos Alexopoulos, Textkernel BV
How fact-based modeling drives data architecture and data development
Wouter van Aerle and Roy Maassen, Deltiq
12:00-12:50 The Role of Thesauri in Data Modeling
Danny Greefhorst, ArchiXL
Common Misconceptions about Machine Learning
Zacharias Voulgaris, PhD
12:50-13:30 Lunch
13:30-14:30 KEYNOTE:

Power of the Business Terms Model

Steve Hoberman
14:30-14:50 Coffee Break - Networking and Meet the Partners!
15:00-15:50 7 uses for Data Models you probably won’t have thought of
Chris Bradley, DAMA International
Data Harmonization: Solving the problem of Semantics, Diversity and Flexibility in Data Modeling
Michaël Brands, Dynactionize
16:00-16:50 Quantifying the Value of Data
Bob Conway, Information Engineering Associates
The key to Data-Centricity: Aligning Ontologies, Taxonomies and Schema
Dave McComb, Semantic Arts
17:00-17:15 Closing and Key Messages
Friday, 19 November 2021
Innovations Track Tools and Techniques Track
8:30-8:50 Networking
9:00-9:50 Who, how, what - why bitemporal data? Who does not ask will not be wise!
Dirk Lerner, TEDAMOH
Becoming a Model-Driven Organization in Four Simple Steps
Christian Kaul, Obaysch
10:00-10:50 Guide your business towards a logical data model with the 6 ELM artifacts or the importance of donuts
Remco Broekmans, Genesee Academy
Randstad's Data Strategy and Frameworks
Remco Brouwer, Randstad Holding, and Charles Verleyen, Devoteam
11:00-11:50 Virtual Ensemble in the Cloud
Rene R. William KRAMP
Information Modelling
Stefan Berner
12:00-12:50 People Modelling
Alex and Gabriela Nicolae Epifor
Fusion Cooking of Data, Facts, Rules & Process
Marco Wobben, BCP Software
12:50-13:30 Lunch
13:30-14:30 KEYNOTE:

“A golden state of mind”

Dominique Monami
14:30-14:50 Coffee Break - Networking and Meet the Partners!
15:00-16:50 Data Models as the Business-Friendly Interface for Data Catalogs
Juha Korpela, Ellie
Connecting the Data Dots using Industry Standards
Moderator: Peter Campbell Panelists: TBD
16:00-16:50 Reverse Engineering: The Overlooked Tool in the Modeling Toolkit
Rafid Reaz, Scotiabank
Connecting the Data Dots using Industry Standards
Moderator: Peter Campbell Panelists: TBD
17:00-17:15 Closing and Key Messages

Note that we reserve the right to make changes and substitutions as needed.

Let’s keep in touch.