Modern Data Architecture Explained: How Query Engines, Lakehouses, and AI Fit Together

Modern data architectures are rarely built from a single platform. Warehouses, data lakes, lakehouses, query engines, and AI tools each solve different problems, but understanding how they fit together can be difficult.

In this webinar, we’ll break down the role of each layer and the trade-offs behind common architecture patterns. We’ll explore where query engines fit, how warehouse and lakehouse architectures support analytics and AI, and when federation can help teams access data across systems without moving everything into one place.

You’ll learn:

• How these layers work together in modern analytics and AI architectures
• Where federation fits and when other approaches may be better
• How to evaluate your current stack and decide what to keep, connect, or consolidate