Introduction to Data Foundations:
From Messy Data to Scalable Analytics
A special full-day workshop presented in partnership with the YYC Data Society, Malloy, Credible and Brabble Solutions.
Registration is via YYC Data Society. Link is found below.
This is a SPECIAL All-Day workshop and networking event that will walk participants through the core building blocks of modern data foundations, from architecture and modeling to shared definitions and AI-ready design. This is a uniquely exciting opportunity for those looking to understand and modernize their data infrastructure in finding new ways at building trust in your data across your organization.
This event is supported by the Malloy open-source project and its contributors (Google's Looker Cofounder: Lloyd Tabb and Michael Toy). This event is also supported by https://credibledata.com/context engine.
This interactive workshop is designed for people who work with data, rely on data, or are responsible for data outcomes. ex. Leaders impacting Data Strategy, Data Product Managers, Data Project Managers, Data Engineers, Aspiring Data Persons, Data Analysts, Data Scientists, Data Strategy Roles, Data Program Managers, Non-Profit Technical Teams or Data Teams, etc.
Why attend this event?
This event is important because most organizations don’t struggle because they lack data, they struggle because they can’t trust it.
One dashboard says revenue is up, another says it’s down. Teams spend meetings debating numbers instead of making decisions. Reports break when systems change. AI tools and Copilots promise insights but produce answers no one feels confident acting on.
This workshop breaks down (in plain language) why these problems happen and how modern organizations are able to design data foundations to avoid them. You’ll see practical examples of how inconsistent definitions, poorly designed reporting layers, and missing shared context lead to confusion, rework, and stalled initiatives.
By the end of the day, you’ll understand how data should be structured so the same numbers mean the same thing everywhere, new reports can be built without starting from scratch, and analytics and AI can be safely layered on as your organization grows without constant firefighting.
This hands-on, full-day workshop covers:
- Designing Modern Data Architecture
- Building the Gold Layer from real business questions
- Designing a semantic layer for business consumption and AI interpretation
- Data Design for AI and ROI
Speakers are flying in from Boulder, Chicago, and Victoria:
- Miles Garvey | Data Strategist & Advisor (former G2)
- Dil Mustafa | Enterprise Data & AI Architect, Datavise Consulting
- Suraj Lamgaday | Data Lead, G2 (former JPMorgan Chase)
- Kyle Nesbit | Founder & CEO, Credible (formerly Google, BigQuery & Looker)
DAMA Calgary members receive $50 off.
Use the code: DAMA-YYC-50OFF-2026
