Frank Martens, our Lead Data Automation Consultant, recently joined a WhereScape webinar panel on building adaptable data architectures, covering topics such as data modeling, automation, metadata, and future-proof platform design.
webinar overview.
Data architectures rarely fail on day one - they fail when they can no longer adapt.
As source systems evolve, business definitions change, and new analytical and AI-driven requirements emerge, many architectures become increasingly fragile. The result is more rework, slower delivery, and greater long-term risk.
In this recorded webinar, industry practitioners share their perspectives on what it takes to build architectures that remain flexible, scalable, and maintainable over time. The discussion examines the strengths and trade-offs of approaches such as Data Vault, dimensional modeling, and hybrid architectures, as well as the role of automation and metadata in reducing complexity and accelerating delivery.
key topics discussed.
Where Data Vault, dimensional modeling, and hybrid approaches provide the most value
How to design for change without introducing unnecessary complexity
The role of automation in reducing manual effort and accelerating delivery
How to support governance, lineage, and auditability while remaining agile
Practical advice for building data platforms that can scale and evolve with the business
speakers.
Moderator
Simon Spring – Head of Product, WhereScape
Panelists
Frank Martens - Lead Data Automation Consultant, quest for knowledge
Kevin Marshbank - CEO & Principal Consultant, The Data Vault Shop
Joe Barter - Business Data Analyst, Business Thinking
Andrew Milner - CTO, Slipstream Data
