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

Modern Data Architecture: Connecting Data Platforms, Analytics & AI

Modern organisations rely on a growing range of data platforms, from data warehouses and data lakes to lakehouses, query engines, and AI solutions. Understanding how these technologies work together is essential for building a scalable and AI-ready data environment.

In this session, discover how modern data architecture brings different technologies together to support analytics, AI, and enterprise data needs. We’ll explore the role of data platforms, query engines, lakehouse architectures, and data federation, along with the considerations for choosing the right approach.

What You’ll Learn

• How modern data architecture supports analytics and AI initiatives
• The role of data warehouses, data lakes, and lakehouses in a modern data ecosystem
• How query engines enable faster and more flexible access to data
• Where data federation fits into a modern data architecture
• Key considerations for evaluating, connecting, or modernising existing data platforms
• How to build a scalable data foundation for future AI and analytics initiatives