LSUG - Snowflake Warehouse Management & Real-Time Data at Massive Scale

In collaboration with Data Engineers London

Intelligent Snowflake Warehouse Management
Konrad’s session explores how Crisp automated Snowflake warehouse management to cut costs and boost efficiency. Using their open-source dbt package dbt-macro-polo, the team built a system that automatically selects the right warehouse size for each workload, adapts by environment, and removes manual scaling. The result: predictable performance, lower compute spend (up to 80% reduction), and a smoother developer experience across teams—all achieved through intelligent automation directly in dbt.
From Stadiums to Scaled Data: Lessons in Real-Time Data at Global Scale
Sam’s session dives into lessons from large-scale live event data systems—handling over 10 billion data points per second for global tours like Beyoncé, Coldplay, and Glastonbury. He connects the extreme demands of real-time analytics and high-performance networking to modern cloud data practices, showing how the same principles of speed, resilience, and precision apply when designing reliable, scalable data platforms today.