Introduction to Building Data Foundations: Messy Data to Scalable Analytics

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 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.
Still need more details? Please visit this page to watch the overview of the workshop provided by one of the speakers, Miles Garvey here :
8:30 am – 3:00 pm; Format: Day workshop with structured networking;
Catering: Coffee on arrival + light lunch provided
Agenda:

• 8:30 – 9:00 Coffee & Networking (30 min) Open Seating
• 9:00 – 9:15 Welcome & Context (15 min)
• 9:15 – 10:15 Modern Data Architecture Fundamentals (45-60 min) by Dil Mustafa
• 10:15 – 10:30 Networking Break (15 min)
• 10:30 – 11:30 The Data Gold Layer Fundamentals & How to Compose It Workshop (60 min) by Suraj Lamgaday
• 11:30 – 11:45 Networking Break + Seat Rotation (15 min)
• 11:45 – 12:45 Data Semantic/Self-Service Design and Background (60 min) by Miles Garvey
• 12:45 – 1:15 Light Lunch & Networking (30 min)
• 1:15 - 1:45 Semantic Design Workshop
• 1:45 - 2:45 Data Design and ROI for AI Understanding (60 min) by Kyle Nesbit
• 2:45 – 3:00 Interactive Group Session (15 min)
• 3:05 – 3:15 Ending Remarks (10 min)