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Description
Analytics and data engineering used to live in separate worlds—different teams, different tools, different goals. But the lines are blurring fast. As modern data products demand speed, scale, and seamless integration, the best teams are embracing engineering principles and best practices.
In this conversation, Ryan Dolley (VP of Product at GoodData), Matt Housley (co-author of Fundamentals of Data Engineering), and Joe Reis (co-author of Fundamentals of Data Engineering), dive into how engineering principles are transforming the way analytics is built, delivered, and scaled.
We’ll cover:
✅ Why analytics workflows are being rebuilt using engineering-first concepts like version control, modularity, CI/CD, and APIs
✅ How cross-functional teams are breaking down silos between analytics, product, and engineering
✅ What this shift means for the future of BI tools, embedded analytics, and data products
This won’t be your typical webinar—it’s a candid, expert-led conversation packed with sharp insights, strong opinions, and real-world takeaways. Whether you’re deep in the weeds of your data stack or shaping long-term strategy, you’ll walk away with a clearer understanding of where analytics is going—and how engineering principles are driving the next wave of innovation in BI.
Meet the speakers

Ryan Dolley
VP of Product Strategy
GoodData

Matt Housley
Data Engineer & Architect

Joe Reis
Chief Nerd
Joe Reis Media
Does GoodData look like the better fit?
Get a demo now and see for yourself. It’s commitment-free.