Headless BI Architecture and Trade-offs: Managing Data Models, Access Control, and APIs

Learn about the emerging Headless BI category and its architectural implementation through Cube in this 15-minute conference talk by Pavel Tiunov from Cube Dev. Explore how Headless BI serves as an intermediary layer between data warehouses and downstream tools, providing essential functions like data modeling, access control, and aggregate awareness while intentionally excluding visualization features. Discover the key architectural principles of separating data models from sources, implementing centralized access control and caching, and enabling data accessibility through APIs rather than built-in presentation features. Gain insights into modern data stack architecture and understand the strategic trade-offs involved in adopting a headless approach to business intelligence.